From 269f66ca93fe1c253bb2493fa3c7e2c687ad677f Mon Sep 17 00:00:00 2001 From: msharsha Date: Mon, 10 Jul 2017 12:43:40 +0530 Subject: [PATCH] Manoj commit --- data/bun0.pcd | 407 ++++++++++++++++++ data/bun03.pcd | 207 +++++++++ data/bun4.pcd | 371 ++++++++++++++++ data/bunny.pcd | 407 ++++++++++++++++++ data/car6.pcd | Bin 0 -> 65638 bytes data/colored_cloud.pcd | Bin 0 -> 14162 bytes data/cturtle.pcd | Bin 0 -> 788633 bytes data/cube.ply | 24 ++ data/curve2d.pcd | 62 +++ data/curve3d.pcd | 121 ++++++ data/octants.pcd | 19 + etc/FOSSEE_Image_Processing_Toolbox.quit | 34 ++ etc/FOSSEE_Image_Processing_Toolbox.quit~ | 34 ++ etc/FOSSEE_Image_Processing_Toolbox.start | 82 ++++ etc/FOSSEE_Image_Processing_Toolbox.start~ | 77 ++++ etc/FOSSEE_Optimization_Toolbox.quit~ | 34 ++ etc/FOSSEE_Optimization_Toolbox.start~ | 85 ++++ help/builder_help.sce | 21 + help/builder_help.sce~ | 21 + help/en_US/DCT.xml | 67 +++ help/en_US/FFT.xml | 65 +++ help/en_US/affine2d.xml | 67 +++ 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a/data/bun03.pcd b/data/bun03.pcd new file mode 100644 index 0000000..a391666 --- /dev/null +++ b/data/bun03.pcd @@ -0,0 +1,207 @@ +# .PCD v.5 - Point Cloud Data file format +VERSION .5 +FIELDS x y z +SIZE 4 4 4 +TYPE F F F +COUNT 1 1 1 +WIDTH 197 +HEIGHT 1 +POINTS 197 +DATA ascii +0.056079 0.066335 0.024122 +0.048168 0.06701 0.026298 +0.056055 0.057253 0.024902 +0.051163 0.056662 0.029137 +0.036914 0.067032 0.036122 +0.033 0.06472 0.039903 +0.038004 0.056507 0.033119 +0.030629 0.054915 0.038484 +0.041875 0.066383 0.028357 +0.041434 0.06088 0.029632 +0.044921 0.049904 0.031243 +0.054635 0.050167 0.022044 +0.04828 0.04737 0.025845 +0.037973 0.048347 0.031456 +0.028053 0.047061 0.035991 +0.025595 0.040346 0.03415 +0.038455 0.043509 0.028278 +0.032031 0.043278 0.029253 +0.036581 0.040335 0.025144 +0.03019 0.039321 0.026847 +0.059333 0.067891 0.017361 +0.0465 0.071452 0.01971 +0.059562 0.057747 0.01834 +0.055636 0.049199 0.019173 +0.0505 0.045064 0.019181 +0.023 0.047803 0.039776 +0.022389 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literal 0 HcmV?d00001 diff --git a/data/cube.ply b/data/cube.ply new file mode 100644 index 0000000..681156a --- /dev/null +++ b/data/cube.ply @@ -0,0 +1,24 @@ +ply +format ascii 1.0 +comment created by platoply +element vertex 8 +property float32 x +property float32 y +property float32 z +element face 6 +property list uint8 int32 vertex_indices +end_header +-1 -1 -1 +1 -1 -1 +1 1 -1 +-1 1 -1 +-1 -1 1 +1 -1 1 +1 1 1 +-1 1 1 +4 0 1 2 3 +4 5 4 7 6 +4 6 2 1 5 +4 3 7 4 0 +4 7 3 2 6 +4 5 1 0 4 diff --git a/data/curve2d.pcd b/data/curve2d.pcd new file mode 100644 index 0000000..21c5e5e --- /dev/null +++ b/data/curve2d.pcd @@ -0,0 +1,62 @@ +# .PCD v0.7 - Point Cloud Data file format +VERSION 0.7 +FIELDS x y z +SIZE 4 4 4 +TYPE F F F +COUNT 1 1 1 +WIDTH 51 +HEIGHT 1 +VIEWPOINT 0 0 0 1 0 0 0 +POINTS 51 +DATA ascii +0 0 0 +0.02 0.039733864 0 +0.039999999 0.077883668 0 +0.059999999 0.11292849 0 +0.079999998 0.14347121 0 +0.1 0.16829421 0 +0.12 0.18640782 0 +0.14 0.19708996 0 +0.16 0.19991472 0 +0.18000001 0.19476953 0 +0.2 0.18185949 0 +0.22 0.16169928 0 +0.23999999 0.13509266 0 +0.25999999 0.10310029 0 +0.28 0.06699764 0 +0.30000001 0.028224003 0 +0.31999999 -0.011674791 0 +0.34 -0.051108241 0 +0.36000001 -0.088504113 0 +0.38 -0.12237157 0 +0.40000001 -0.1513605 0 +0.41999999 -0.17431514 0 +0.44 -0.19032042 0 +0.46000001 -0.1987382 0 +0.47999999 -0.19923294 0 +0.5 -0.19178486 0 +0.51999998 -0.17669095 0 +0.54000002 -0.15455289 0 +0.56 -0.12625335 0 +0.57999998 -0.09292049 0 +0.60000002 -0.055883102 0 +0.62 -0.016617918 0 +0.63999999 0.023309765 0 +0.66000003 0.062308345 0 +0.68000001 0.098822705 0 +0.69999999 0.13139732 0 +0.72000003 0.15873361 0 +0.74000001 0.17974164 0 +0.75999999 0.19358394 0 +0.77999997 0.19970867 0 +0.80000001 0.19787166 0 +0.81999999 0.18814613 0 +0.83999997 0.17091982 0 +0.86000001 0.14687937 0 +0.88 0.11698341 0 +0.89999998 0.082423702 0 +0.92000002 0.04457802 0 +0.94 0.0049551614 0 +0.95999998 -0.034865245 0 +0.98000002 -0.073295861 0 +1 -0.10880423 0 diff --git a/data/curve3d.pcd b/data/curve3d.pcd new file mode 100644 index 0000000..c000d13 --- /dev/null +++ b/data/curve3d.pcd @@ -0,0 +1,121 @@ +# .PCD v0.7 - Point Cloud Data file format +VERSION 0.7 +FIELDS x y z +SIZE 4 4 4 +TYPE F F F +COUNT 1 1 1 +WIDTH 110 +HEIGHT 1 +VIEWPOINT 0 0 0 1 0 0 0 +POINTS 110 +DATA ascii +0.2618683 0 0 +0.23598622 0.018518519 0.018412856 +0.21542533 0.037037037 0.036196072 +0.19700167 0.055555556 0.052741542 +0.1793666 0.074074075 0.067483477 +0.16249448 0.09259259 0.079917766 +0.14649306 0.11111111 0.089619219 +0.1314856 0.12962963 0.096256085 +0.11800964 0.14814815 0.09960141 +0.10627577 0.16666667 0.099540792 +0.095726058 0.18518518 0.096076325 +0.086137742 0.2037037 0.089326456 +0.077171393 0.22222222 0.079521999 +0.068787947 0.24074075 0.066998243 +0.061007451 0.25925925 0.05218346 +0.054010641 0.27777779 0.035584185 +0.047754258 0.2962963 0.017768109 +0.04215797 0.31481481 -0.00065553596 +0.037152704 0.33333334 -0.019056812 +0.032678664 0.35185185 -0.036806382 +0.028683878 0.37037036 -0.053297356 +0.025122928 0.3888889 -0.067965791 +0.021955969 0.4074074 -0.080310076 +0.019137207 0.42592594 -0.089908138 +0.016587136 0.44444445 -0.096431717 +0.014241778 0.46296296 -0.099657737 +0.012085292 0.48148149 -0.099475905 +0.010127963 0.5 -0.095892429 +0.0083744582 0.51851851 -0.089029856 +0.0067965016 0.53703701 -0.079122856 +0.0053896443 0.55555558 -0.066510133 +0.0041495762 0.57407409 -0.051623113 +0.0030721382 0.5925926 -0.034970772 +0.0021732643 0.6111111 -0.017122623 +0.0014556401 0.62962961 0.0013110437 +0.00088436273 0.64814812 0.019699879 +0.00044764121 0.66666669 0.037415154 +0.0001472009 0.68518519 0.0538509 +0 0.7037037 0.068445183 +2.8663799e-05 0.72222221 0.080698974 +0.00026614798 0.74074072 0.090193182 +0.00073131552 0.75925928 0.0966032 +0.0014744347 0.77777779 0.099709786 +0.0025484858 0.7962963 0.099406742 +0.004015225 0.81481481 0.095704429 +0.0059407689 0.83333331 0.088729426 +0.0083649782 0.85185188 0.078720249 +0.011356608 0.87037039 0.066019177 +0.015023956 0.8888889 0.051060531 +0.019546311 0.9074074 0.03435592 +0.025265677 0.92592591 0.0164764 +0.032836832 0.94444442 -0.0019665428 +0.043834809 0.96296299 -0.020342238 +0.061845049 0.98148149 -0.038022228 +0.15132776 1 -0.054402109 +0.34258369 1 -0.054402109 +0.41924065 0.98148149 -0.038022228 +0.58897847 0.96296299 -0.020342238 +0.79374248 0.94444442 -0.0019665428 +0.85289252 0.92592591 0.0164764 +0.88434827 0.9074074 0.03435592 +0.90612453 0.8888889 0.051060531 +0.92375213 0.87037039 0.066019177 +0.9383359 0.85185188 0.078720249 +0.95078009 0.83333331 0.088729426 +0.96137315 0.81481481 0.095704429 +0.97035372 0.7962963 0.099406742 +0.9777773 0.77777779 0.099709786 +0.98388577 0.75925928 0.0966032 +0.98879784 0.74074072 0.090193182 +0.99261862 0.72222221 0.080698974 +0.9954412 0.7037037 0.068445183 +0.99734282 0.68518519 0.0538509 +0.99836522 0.66666669 0.037415154 +0.99906462 0.64814812 0.019699879 +0.99955368 0.62962961 0.0013110437 +0.99986094 0.6111111 -0.017122623 +1 0.5925926 -0.034970772 +0.99998313 0.57407409 -0.051623113 +0.99980038 0.55555558 -0.066510133 +0.99945331 0.53703701 -0.079122856 +0.99897438 0.51851851 -0.089029856 +0.99835813 0.5 -0.095892429 +0.99758673 0.48148149 -0.099475905 +0.99659848 0.46296296 -0.099657737 +0.99541795 0.44444445 -0.096431717 +0.99403375 0.42592594 -0.089908138 +0.99242485 0.4074074 -0.080310076 +0.99056482 0.3888889 -0.067965791 +0.98835915 0.37037036 -0.053297356 +0.98559433 0.35185185 -0.036806382 +0.98212183 0.33333334 -0.019056812 +0.97785318 0.31481481 -0.00065553596 +0.9726848 0.2962963 0.017768109 +0.96649384 0.27777779 0.035584185 +0.95894098 0.25925925 0.05218346 +0.94836944 0.24074075 0.066998243 +0.93344718 0.22222222 0.079521999 +0.9140386 0.2037037 0.089326456 +0.88825113 0.18518518 0.096076325 +0.8574475 0.16666667 0.099540792 +0.8254683 0.14814815 0.09960141 +0.7929576 0.12962963 0.096256085 +0.75959456 0.11111111 0.089619219 +0.71776718 0.09259259 0.079917766 +0.663634 0.074074075 0.067483477 +0.59795892 0.055555556 0.052741542 +0.53159815 0.037037037 0.036196072 +0.47132188 0.018518519 0.018412856 +0.4157775 0 0 diff --git a/data/octants.pcd b/data/octants.pcd new file mode 100644 index 0000000..c1be992 --- /dev/null +++ b/data/octants.pcd @@ -0,0 +1,19 @@ +# .PCD v0.7 - Point Cloud Data file format +VERSION 0.7 +FIELDS x y z +SIZE 4 4 4 +TYPE F F F +COUNT 1 1 1 +WIDTH 8 +HEIGHT 1 +VIEWPOINT 0 0 0 1 0 0 0 +POINTS 8 +DATA ascii +-9.0 -9.0 -9.0 +-6.0 -9.0 -9.0 +-3.0 -9.0 -9.0 +-2.0 -9.0 -9.0 +1.0 -3.0 -3.0 +3.0 -3.0 -3.0 +6.0 -3.0 -3.0 +9.0 -3.0 -3.0 diff --git a/etc/FOSSEE_Image_Processing_Toolbox.quit b/etc/FOSSEE_Image_Processing_Toolbox.quit new file mode 100644 index 0000000..459eb07 --- /dev/null +++ b/etc/FOSSEE_Image_Processing_Toolbox.quit @@ -0,0 +1,34 @@ +// Copyright (C) 2015 - IIT Bombay - FOSSEE +// +// This file must be used under the terms of the BSD. +// This source file is licensed as described in the file LICENSE, which +// you should have received as part of this distribution. The terms +// are also available at +// https://opensource.org/licenses/BSD-3-Clause +// Author: Shamika Mohanan +// Organization: FOSSEE, IIT Bombay +// Email: toolbox@scilab.in + + +function quitModule() + + etc_tlbx = get_absolute_file_path("FOSSEE_Image_Processing_Toolbox.quit"); + etc_tlbx = getshortpathname(etc_tlbx); + root_tlbx = strncpy( etc_tlbx, length(etc_tlbx)-length("\etc\") ); + + //unlink libraries + [bOK, ilib] = c_link('FOSSEE_Optimization_Toolbox'); + if bOK then + ulink(ilib); + end + + // Remove Preferences GUI + // ============================================================================= + if getscilabmode() == "STD" then + removeModulePreferences(root_tlbx); + end + ulink(); +endfunction + +clear quitModule; + diff --git a/etc/FOSSEE_Image_Processing_Toolbox.quit~ b/etc/FOSSEE_Image_Processing_Toolbox.quit~ new file mode 100644 index 0000000..ca53a1c --- /dev/null +++ b/etc/FOSSEE_Image_Processing_Toolbox.quit~ @@ -0,0 +1,34 @@ +// Copyright (C) 2015 - IIT Bombay - FOSSEE +// +// This file must be used under the terms of the BSD. +// This source file is licensed as described in the file LICENSE, which +// you should have received as part of this distribution. The terms +// are also available at +// https://opensource.org/licenses/BSD-3-Clause +// Author: Shamika Mohanan +// Organization: FOSSEE, IIT Bombay +// Email: toolbox@scilab.in + + +function quitModule() + + etc_tlbx = get_absolute_file_path("FOSSEE_Image_Processin_Toolbox.quit"); + etc_tlbx = getshortpathname(etc_tlbx); + root_tlbx = strncpy( etc_tlbx, length(etc_tlbx)-length("\etc\") ); + + //unlink libraries + [bOK, ilib] = c_link('FOSSEE_Optimization_Toolbox'); + if bOK then + ulink(ilib); + end + + // Remove Preferences GUI + // ============================================================================= + if getscilabmode() == "STD" then + removeModulePreferences(root_tlbx); + end + ulink(); +endfunction + +clear quitModule; + diff --git a/etc/FOSSEE_Image_Processing_Toolbox.start b/etc/FOSSEE_Image_Processing_Toolbox.start new file mode 100644 index 0000000..0dee6d9 --- /dev/null +++ b/etc/FOSSEE_Image_Processing_Toolbox.start @@ -0,0 +1,82 @@ +// Copyright (C) 2017 - IIT Bombay - FOSSEE +// +// This file must be used under the terms of the BSD. +// This source file is licensed as described in the file LICENSE, which +// you should have received as part of this distribution. The terms +// are also available at +// https://opensource.org/licenses/BSD-3-Clause +// Author: Shamika Mohanan +// Organization: FOSSEE, IIT Bombay +// Email: toolbox@scilab.in + +mprintf("Start FOSSEE Image Processing Toolbox\n"); + +[a, opt] = getversion(); +Version = opt(2); + +etc_tlbx = get_absolute_file_path("FOSSEE_Image_Processing_Toolbox.start"); +etc_tlbx = getshortpathname(etc_tlbx); +root_tlbx = strncpy( etc_tlbx, length(etc_tlbx)-length("\etc\") ); + +//Load functions library +// ============================================================================= +mprintf("\tLoad macros\n"); +pathmacros = pathconvert( root_tlbx ) + "macros" + filesep(); +fipt_lib = lib(pathmacros); +clear pathmacros; + +// load gateways +// ============================================================================= + +mprintf("\tLoad gateways\n"); +[a, opt] = getversion(); +Version = opt(2); +ilib_verbose(0); +if getos()=="Windows" then +// lib_path = root_tlbx + "/thirdparty/windows/bin/" + Version;*/ +// link(lib_path+filesep()+"IpOptFSS.dll");*/ +// link(lib_path+filesep()+"IpOpt-vc10.dll");*/ +else + //lib_path = root_tlbx + "/thirdparty/linux/lib/" + Version; +// lib_path="/usr/lib";*/ + //link(lib_path + "/libopencv_core.so"); + //link(lib_path + "/libopencv_highgui.so"); + //link(lib_path + "/libopencv_imgproc.so"); + lib_path="/usr/local/lib"; + link(lib_path + "/libopencv_core.so"); + link(lib_path + "/libopencv_highgui.so"); + link(lib_path + "/libopencv_imgproc.so"); + + +end +exec(pathconvert(root_tlbx + filesep() + "sci_gateway" + filesep() + "loader_gateway.sce",%f)); + +// Load and add help chapter +// ============================================================================= +if ( %t ) then +if or(getscilabmode() == ["NW";"STD"]) then + mprintf("\tLoad help\n"); + path_addchapter = pathconvert(root_tlbx+"/jar"); + if ( isdir(path_addchapter) <> [] ) then + add_help_chapter("FOSSEE_Image_Processing_Toolbox", path_addchapter, %F); + clear add_help_chapter; + end + clear path_addchapter; +end +end + +// add demos +// ============================================================================= + +if ( %t ) then +if or(getscilabmode() == ["NW";"STD"]) then + mprintf("\tLoad demos\n"); + //pathdemos = pathconvert(root_tlbx+"/demos/sci_FOSSEE_Image_Processing_Toolbox.dem.gateway.sce",%f,%t); + //add_demo("FOSSEE_Image_Processing_Toolbox",pathdemos); + //clear pathdemos ; +end +end + +// ============================================================================= + +clear etc_tlbx root_tlbx Version a opt lib_path; diff --git a/etc/FOSSEE_Image_Processing_Toolbox.start~ b/etc/FOSSEE_Image_Processing_Toolbox.start~ new file mode 100644 index 0000000..bf6a60e --- /dev/null +++ b/etc/FOSSEE_Image_Processing_Toolbox.start~ @@ -0,0 +1,77 @@ +// Copyright (C) 2017 - IIT Bombay - FOSSEE +// +// This file must be used under the terms of the BSD. +// This source file is licensed as described in the file LICENSE, which +// you should have received as part of this distribution. The terms +// are also available at +// https://opensource.org/licenses/BSD-3-Clause +// Author: Shamika Mohanan +// Organization: FOSSEE, IIT Bombay +// Email: toolbox@scilab.in + +mprintf("Start FOSSEE Image Processing Toolbox\n"); + +[a, opt] = getversion(); +Version = opt(2); + +etc_tlbx = get_absolute_file_path("FOSSEE_Image_Processing_Toolbox.start"); +etc_tlbx = getshortpathname(etc_tlbx); +root_tlbx = strncpy( etc_tlbx, length(etc_tlbx)-length("\etc\") ); + +//Load functions library +// ============================================================================= +mprintf("\tLoad macros\n"); +pathmacros = pathconvert( root_tlbx ) + "macros" + filesep(); +fipt_lib = lib(pathmacros); +clear pathmacros; + +// load gateways +// ============================================================================= + +mprintf("\tLoad gateways\n"); +[a, opt] = getversion(); +Version = opt(2); +ilib_verbose(0); +if getos()=="Windows" then +// lib_path = root_tlbx + "/thirdparty/windows/bin/" + Version;*/ +// link(lib_path+filesep()+"IpOptFSS.dll");*/ +// link(lib_path+filesep()+"IpOpt-vc10.dll");*/ +else + lib_path = root_tlbx + "/thirdparty/linux/lib/" + Version; +// lib_path="/usr/lib";*/ +// link(lib_path + "/libopencv_core.so");*/ +// link(lib_path + "/libopencv_highgui.so");*/ +// link(lib_path + "/libopencv_imgproc.so");*/ + +end +exec(pathconvert(root_tlbx + filesep() + "sci_gateway" + filesep() + "loader_gateway.sce",%f)); + +// Load and add help chapter +// ============================================================================= +if ( %t ) then +if or(getscilabmode() == ["NW";"STD"]) then + mprintf("\tLoad help\n"); + path_addchapter = pathconvert(root_tlbx+"/jar"); + if ( isdir(path_addchapter) <> [] ) then + add_help_chapter("FOSSEE_Image_Processing_Toolbox", path_addchapter, %F); + clear add_help_chapter; + end + clear path_addchapter; +end +end + +// add demos +// ============================================================================= + +if ( %t ) then +if or(getscilabmode() == ["NW";"STD"]) then + mprintf("\tLoad demos\n"); + //pathdemos = pathconvert(root_tlbx+"/demos/sci_FOSSEE_Image_Processing_Toolbox.dem.gateway.sce",%f,%t); + //add_demo("FOSSEE_Image_Processing_Toolbox",pathdemos); + //clear pathdemos ; +end +end + +// ============================================================================= + +clear etc_tlbx root_tlbx Version a opt lib_path; diff --git a/etc/FOSSEE_Optimization_Toolbox.quit~ b/etc/FOSSEE_Optimization_Toolbox.quit~ new file mode 100644 index 0000000..86ed18a --- /dev/null +++ b/etc/FOSSEE_Optimization_Toolbox.quit~ @@ -0,0 +1,34 @@ +// Copyright (C) 2015 - IIT Bombay - FOSSEE +// +// This file must be used under the terms of the BSD. +// This source file is licensed as described in the file LICENSE, which +// you should have received as part of this distribution. The terms +// are also available at +// https://opensource.org/licenses/BSD-3-Clause +// Author: Harpreet Singh +// Organization: FOSSEE, IIT Bombay +// Email: toolbox@scilab.in + + +function quitModule() + + etc_tlbx = get_absolute_file_path("FOSSEE_Optimization_Toolbox.quit"); + etc_tlbx = getshortpathname(etc_tlbx); + root_tlbx = strncpy( etc_tlbx, length(etc_tlbx)-length("\etc\") ); + + //unlink libraries + [bOK, ilib] = c_link('FOSSEE_Optimization_Toolbox'); + if bOK then + ulink(ilib); + end + + // Remove Preferences GUI + // ============================================================================= + if getscilabmode() == "STD" then + removeModulePreferences(root_tlbx); + end + ulink(); +endfunction + +clear quitModule; + diff --git a/etc/FOSSEE_Optimization_Toolbox.start~ b/etc/FOSSEE_Optimization_Toolbox.start~ new file mode 100644 index 0000000..f2a5a06 --- /dev/null +++ b/etc/FOSSEE_Optimization_Toolbox.start~ @@ -0,0 +1,85 @@ +// Copyright (C) 2017 - IIT Bombay - FOSSEE +// +// This file must be used under the terms of the BSD. +// This source file is licensed as described in the file LICENSE, which +// you should have received as part of this distribution. The terms +// are also available at +// https://opensource.org/licenses/BSD-3-Clause +// Author: Shamika Mohanan +// Organization: FOSSEE, IIT Bombay +// Email: toolbox@scilab.in + +mprintf("Start FOSSEE Image Processing Toolbox\n"); + +[a, opt] = getversion(); +Version = opt(2); + +etc_tlbx = get_absolute_file_path("FOSSEE_Image_Processing_Toolbox.start"); +etc_tlbx = getshortpathname(etc_tlbx); +root_tlbx = strncpy( etc_tlbx, length(etc_tlbx)-length("\etc\") ); + +//Load functions library +// ============================================================================= +mprintf("\tLoad macros\n"); +pathmacros = pathconvert( root_tlbx ) + "macros" + filesep(); +symphony_lib = lib(pathmacros); +clear pathmacros; + +// load gateways +// ============================================================================= + +mprintf("\tLoad gateways\n"); +[a, opt] = getversion(); +Version = opt(2); +ilib_verbose(0); +if getos()=="Windows" then + lib_path = root_tlbx + "/thirdparty/windows/bin/" + Version; + link(lib_path+filesep()+"IpOptFSS.dll"); + link(lib_path+filesep()+"IpOpt-vc10.dll"); +else + lib_path = root_tlbx + "/thirdparty/linux/lib/" + Version; + link(lib_path + "/libCoinUtils.so"); + link(lib_path + "/libClp.so"); + link(lib_path + "/libClpSolver.so"); + link(lib_path + "/libOsi.so"); + link(lib_path + "/libOsiCommonTests.so"); + link(lib_path + "/libOsiClp.so"); + link(lib_path + "/libCgl.so"); + link(lib_path + "/libSym.so"); + link(lib_path + "/libOsiSym.so"); + link(lib_path + "/libcoinblas.so"); + link(lib_path + "/libcoinlapack.so"); + link(lib_path + "/libcoinmumps.so"); + link(lib_path + "/libipopt.so"); +end +exec(pathconvert(root_tlbx + filesep() + "sci_gateway" + filesep() + "loader_gateway.sce",%f)); + +// Load and add help chapter +// ============================================================================= +if ( %t ) then +if or(getscilabmode() == ["NW";"STD"]) then + mprintf("\tLoad help\n"); + path_addchapter = pathconvert(root_tlbx+"/jar"); + if ( isdir(path_addchapter) <> [] ) then + add_help_chapter("FOSSEE_Optimization_Toolbox", path_addchapter, %F); + clear add_help_chapter; + end + clear path_addchapter; +end +end + +// add demos +// ============================================================================= + +if ( %t ) then +if or(getscilabmode() == ["NW";"STD"]) then + mprintf("\tLoad demos\n"); + pathdemos = pathconvert(root_tlbx+"/demos/sci_FOSSEE_Image_Processing_Toolbox.dem.gateway.sce",%f,%t); + add_demo("FOSSEE_Image_Processing_Toolbox",pathdemos); + clear pathdemos ; +end +end + +// ============================================================================= + +clear etc_tlbx root_tlbx Version a opt lib_path; diff --git a/help/builder_help.sce b/help/builder_help.sce new file mode 100644 index 0000000..4d4e031 --- /dev/null +++ b/help/builder_help.sce @@ -0,0 +1,21 @@ +// Copyright (C) 2015 - IIT Bombay - FOSSEE +// +// Author: Shamika Mohanan +// Organization: FOSSEE, IIT Bombay +// Email: toolbox@scilab.in +// This file must be used under the terms of the BSD. +// This source file is licensed as described in the file LICENSE, which +// you should have received as part of this distribution. The terms +// are also available at +// https://opensource.org/licenses/BSD-3-Clause + +mode(-1) +lines(0) + +toolbox_title = "FOSSEE_Image_Processing_Toolbox" + +help_dir = get_absolute_file_path('builder_help.sce'); + +tbx_builder_help_lang("en_US", help_dir); + +clear toolbox_title; diff --git a/help/builder_help.sce~ b/help/builder_help.sce~ new file mode 100644 index 0000000..da2f4f7 --- /dev/null +++ b/help/builder_help.sce~ @@ -0,0 +1,21 @@ +// Copyright (C) 2015 - IIT Bombay - FOSSEE +// +// Author: Harpreet Singh +// Organization: FOSSEE, IIT Bombay +// Email: harpreet.mertia@gmail.com +// This file must be used under the terms of the BSD. +// This source file is licensed as described in the file LICENSE, which +// you should have received as part of this distribution. The terms +// are also available at +// https://opensource.org/licenses/BSD-3-Clause + +mode(-1) +lines(0) + +toolbox_title = "FOSSEE_Optimization_Toolbox" + +help_dir = get_absolute_file_path('builder_help.sce'); + +tbx_builder_help_lang("en_US", help_dir); + +clear toolbox_title; diff --git a/help/en_US/DCT.xml b/help/en_US/DCT.xml new file mode 100644 index 0000000..04c3a6a --- /dev/null +++ b/help/en_US/DCT.xml @@ -0,0 +1,67 @@ + + + + + + + + DCT + Performs forward Discrete Cosine Transform of the 1D or 2D array. + + + + + Calling Sequence + + dstMat = DCT(srcMat) + + + + + + Parameters + + srcMat : + 1D or 2D floating type array + dstMat : + The output matrix + + + + + Description + +dstMat = DCT(srcMat) +Returns the DCT of the input matrix. + + + + + + + Examples + + + + + Authors + + Deepshikha + + + diff --git a/help/en_US/FFT.xml b/help/en_US/FFT.xml new file mode 100644 index 0000000..653e16f --- /dev/null +++ b/help/en_US/FFT.xml @@ -0,0 +1,65 @@ + + + + + + + + FFT + This function returns discrete Fourier Transform of 2D input matrix + + + + + Calling Sequence + + fourierTransform=FFT(inputMatrix) + + + + + + Parameters + + inputMatrix: + Input matrix must be 2-D. + + + + + Description + +It returns the 2D discrete Fourier transform of two dimensional input matrix. + + + + + + + Examples + + + + + Authors + + Sridhar Reddy + + + diff --git a/help/en_US/affine2d.xml b/help/en_US/affine2d.xml new file mode 100644 index 0000000..28962ba --- /dev/null +++ b/help/en_US/affine2d.xml @@ -0,0 +1,67 @@ + + + + + + + + affine2d + Creates an affine2d object for input 3x3 matrix. + + + + + Calling Sequence + + y = affine2d(mat) + + + + + + Parameters + + mat : + It is a 3x3 matrix which specifies forward affine2d transformation. + y : + an affine2d object with similar properties as the input. + + + + + Description + +y = affine2d(mat) returns the affine2d object where a 3x3 numeric matrix is given as input +It encapsulates 2d affine geometri transformation. + + + + + + + Examples + + + + + Authors + + Yash S. Bhalgat + + + diff --git a/help/en_US/bboxOverlapRatio.xml b/help/en_US/bboxOverlapRatio.xml new file mode 100644 index 0000000..8c2b5af --- /dev/null +++ b/help/en_US/bboxOverlapRatio.xml @@ -0,0 +1,78 @@ + + + + + + + + bboxOverlapRatio + Compute the overlap ratio between the bounding boxes A and B. + + + + + Calling Sequence + + [ overlapRatio ] = bboxOverlapRatio(bboxA, bboxB); + [ overlapRatio ] = bboxOverlapRatio(bboxA, bboxB, ratioType); + + + + + + Parameters + + bboxA: + Bounding box A of the form [x, y, width, height]; + bboxB: + Boundng box B of the form [x, y, width, height]; + ratioType (Optional Argument): + Method to be used to compute the ratio. Set this to either 'Union' or 'Min'. Default computation method is set to 'Union'. + overlapRatio: + Overlap ratio between the bounding boxes A and B. + + + + + Description + +Compute the overlap ratio between the bounding boxes A and B. + + + + + + + Examples + + + + + Authors + + Tanmay Chaudhari + + + diff --git a/help/en_US/build_help.sce b/help/en_US/build_help.sce new file mode 100644 index 0000000..81154f3 --- /dev/null +++ b/help/en_US/build_help.sce @@ -0,0 +1,17 @@ +// Copyright (C) 2015 - IIT Bombay - FOSSEE +// +// Author: Shamika Mohanan +// Organization: FOSSEE, IIT Bombay +// Email: toolbox@scilab.in +// This file must be used under the terms of the BSD. +// This source file is licensed as described in the file LICENSE, which +// you should have received as part of this distribution. The terms +// are also available at +// https://opensource.org/licenses/BSD-3-Clause + +help_lang_dir = get_absolute_file_path('build_help.sce'); + +tbx_build_help(TOOLBOX_TITLE, help_lang_dir); + +clear help_lang_dir; + diff --git a/help/en_US/build_help.sce~ b/help/en_US/build_help.sce~ new file mode 100644 index 0000000..0205c56 --- /dev/null +++ b/help/en_US/build_help.sce~ @@ -0,0 +1,17 @@ +// Copyright (C) 2015 - IIT Bombay - FOSSEE +// +// Author: Shamika Mohanan +// Organization: FOSSEE, IIT Bombay +// Email: harpreet.mertia@gmail.com +// This file must be used under the terms of the BSD. +// This source file is licensed as described in the file LICENSE, which +// you should have received as part of this distribution. The terms +// are also available at +// https://opensource.org/licenses/BSD-3-Clause + +help_lang_dir = get_absolute_file_path('build_help.sce'); + +tbx_build_help(TOOLBOX_TITLE, help_lang_dir); + +clear help_lang_dir; + diff --git a/help/en_US/calfocal.xml b/help/en_US/calfocal.xml new file mode 100644 index 0000000..7fac16e --- /dev/null +++ b/help/en_US/calfocal.xml @@ -0,0 +1,80 @@ + + + + + + + + calfocal + Estimates focal lengths for each given camera. + + + + + Calling Sequence + + res = calfocal(image1,image2) + res = calfocal(image1,image2,image3) + res = calfocal(image1,image2,image3,image4) + res = calfocal(image1,image2,image3,image4,image5) + res = calfocal(image1,image2,image3,image4,image5,image6) + + + + + + Parameters + + image1 : + an image + image2 : + an image + image3 : + an image + image4 : + an image + image5 : + an image + image6 : + an image + + + + + Description + +res = calfocal(image1,image2) return a 1x2 matrix. +Features are extracted from each image and matching is done on two consecutive images to ensure the continuity in images. +After this camera parameters are estimated along with their focal lengths are estimated. + + + + + + + Examples + + + + + Authors + + Manoj Sree Harsha + + + diff --git a/help/en_US/cameraMatrix.xml b/help/en_US/cameraMatrix.xml new file mode 100644 index 0000000..9d58700 --- /dev/null +++ b/help/en_US/cameraMatrix.xml @@ -0,0 +1,72 @@ + + + + + + + + cameraMatrix + Returns camera projection matrix. + + + + + Calling Sequence + + camMatrix = cameraMatrix(instrinsicMatrix,rotationMatrix,translationVector); + + + + + + Parameters + + camMatrix: + A 4x3 camera projection matrix, which can be used to project 3-D world points in homogenous co-ordinates into an image. + instrinsicMatrix: + Projection matrix of size 3x3. + rotationMatrix: + A 3x3 matrix which specifies the rotation of a camera. + translationVector: + A 1x3 vector which specifies the translation of a camera. + + + + + Description + +Return a matrix of size 4-by-3, which can be used to project 3-D world points in homogenous co-ordinates into an image. + + + + + + + Examples + + + + + Authors + + Tanmay Chaudhari + + + diff --git a/help/en_US/convolver.xml b/help/en_US/convolver.xml new file mode 100644 index 0000000..d053db6 --- /dev/null +++ b/help/en_US/convolver.xml @@ -0,0 +1,75 @@ + + + + + + + + convolver + Convolves an image with the kernel. + + + + + Calling Sequence + + out_image = convolver(in_image,ksize,kvalues,scalar) + + + + + + Parameters + + in_image : + an image + out_image : + the output image + ksize : + kernel size (belongs to {3,4,5}) + kvalues : + kernel matrix values + scalar : + any floating value + + + + + Description + +out_image = convolver(in_image,ksize,kvalues,scalar) +Returns the convoluted image of the input image. It uses filter2d function to perform convolution. +The convolution is with the given kernel. + + + + + + + Examples + + + + + Authors + + Kevin George , Manoj Sree Harsha + + + diff --git a/help/en_US/cornerEigenValsAndVecs.xml b/help/en_US/cornerEigenValsAndVecs.xml new file mode 100644 index 0000000..d5e5ea5 --- /dev/null +++ b/help/en_US/cornerEigenValsAndVecs.xml @@ -0,0 +1,77 @@ + + + + + + + + cornerEigenValsAndVecs + Calculates eigenvalues and eigenvectors of image blocks for corner detection. + + + + + Calling Sequence + + inputImage=imread('path of the image file') + outputImg = cornerEigenValsAndVecs(inputImage, blockSize, kSize, borderType) + imshow(outputImg) + + + + + + Parameters + + inputImage : + an image. + blockSize : + Neighborhood size + kSize : + Aperture parameter for the Sobel() operator. + borderType : + Pixel extrapolation method + + + + + Description + +outputImg = cornerEigenValsAndVecs(inputImage, blockSize, kSize, borderType) +For every pixel p , the function cornerEigenValsAndVecs considers a blockSize x blockSize neighborhood S(p) . It calculates the covariation matrix of derivatives over the neighbourhood +After that, it finds eigenvectors and eigenvalues and stores them in the destination image(outputImg). + + + + + + + Examples + + + + + Authors + + Shubheksha Jalan + + + diff --git a/help/en_US/cornerHarris.xml b/help/en_US/cornerHarris.xml new file mode 100644 index 0000000..ff1fd8a --- /dev/null +++ b/help/en_US/cornerHarris.xml @@ -0,0 +1,80 @@ + + + + + + + + cornerHarris + Harris edge detector. + + + + + Calling Sequence + + inputImage=imread('path of the image file') + outputImg = cornerHarris(inputImage, blockSize, kSize, k, borderType) + imshow(outputImg) + + + + + + Parameters + + inputImage : + an image. + blockSize : + Neighborhood size + kSize : + Aperture parameter for the Sobel() operator. + k : + Harris detector free parameter. + borderType : + Pixel extrapolation method + + + + + Description + +outputImg = cornerHarris(inputImage, blockSize, kSize, k, borderType) +This function runs the Harris edge detector on the image. +outputImg is used to store the Harris detector responses + + + + + + + Examples + + + + + Authors + + Shubheksha Jalan + + + diff --git a/help/en_US/cornerMinEigenVal.xml b/help/en_US/cornerMinEigenVal.xml new file mode 100644 index 0000000..fd49ba6 --- /dev/null +++ b/help/en_US/cornerMinEigenVal.xml @@ -0,0 +1,78 @@ + + + + + + + + cornerMinEigenVal + Calculates the minimal eigenvalue of gradient matrices for corner detection. + + + + + Calling Sequence + + inputImage=imread('path of the image file') + outputImg = cornerMinEigenVal(inputImage, blockSize, kSize, borderType) + imshow(outputImg) + + + + + + Parameters + + inputImage : + an image. + blockSize : + Neighborhood size + kSize : + Aperture parameter for the Sobel() operator. + borderType : + Pixel extrapolation method + + + + + Description + +outputImg = cornerMinEigenVal(inputImage, blockSize, kSize, borderType) +The function is similar to cornerEigenValsAndVecs() but it calculates only the minimal eigenvalue of the covariance matrix of derivatives. +After that, it stores them in the destination image(outputImg). + + + + + + + Examples + + + + + Authors + + Shubheksha Jalan + + + diff --git a/help/en_US/exposure.xml b/help/en_US/exposure.xml new file mode 100644 index 0000000..ea42260 --- /dev/null +++ b/help/en_US/exposure.xml @@ -0,0 +1,95 @@ + + + + + + + + exposure + Compensate exposure in the specified image. + + + + + Calling Sequence + + stacksize('max') + image1=imread('path of the image file') + image2=imread('path of the image file') + y = exposure(algo_type,img_index,image1,image2) + image3=imread('path of the image file') + y = exposure(algo_type,img_index,image1,image2,image3) + image4=imread('path of the image file') + y = exposure(algo_type,img_index,image1,image2,image3,image4) + image5=imread('path of the image file') + y = exposure(algo_type,img_index,image1,image2,image3,image4,image5) + image6=imread('path of the image file') + y = exposure(algo_type,img_index,image1,image2,image3,image4,image6) + + + + + + Parameters + + algo_type : + an integer between 1 and 3 (both inclusive) specifying the algorithm to be used for exposure compensation. + img_index : + index of the image on which exposure compensator will be applied + image1 : + an image + image2 : + an image + image3 : + an image + image4 : + an image + image5 : + an image + image6 : + an image + + + + + Description + +y = exposure(algo_type,img_index,image1,image2) returns an image whose exposure is compensated. +Features are extracted from each image and matching is done on two consecutive images to ensure the continuity in images. +After this camera parameters are estimated which is required to do particular type of warping. +After warping is done exposure is compensated in an image whose index is mentioned. + + + + + + + Examples + + + + + Authors + + Manoj Sree Harsha + + + diff --git a/help/en_US/imattributes.xml b/help/en_US/imattributes.xml new file mode 100644 index 0000000..c8aec69 --- /dev/null +++ b/help/en_US/imattributes.xml @@ -0,0 +1,68 @@ + + + + + + + + imattributes + Provides information about image attributes. + + + + + Calling Sequence + + inputImage=imread('path of the image file') + imattributes(inputImage) + + + + + + Parameters + + inputImage : + an image. + + + + + Description + +imattributes gives image attribute information in the form of a 4-by-2 or 6-by-2 cell array, depending on the image type. +The first column of the cell array contains the name of the attribute. +The second column contains the value of the attribute. Both attribute names and values are character vectors +'Minimum intensity': Regarding intensity images, this value represents the lowest intensity value of any pixel. In case ofindexed images, this value represents the lowest index value into a color map. +'Maximum intensity':Regarding intensity images, this value represents the highest intensity value of any pixel. In case of indexed images, this value represents the highest index value into a color map. + + + + + + + Examples + + + + + Authors + + Dhruti Shah , Manoj Sree Harsha + + + diff --git a/help/en_US/knn.xml b/help/en_US/knn.xml new file mode 100644 index 0000000..5ffdef6 --- /dev/null +++ b/help/en_US/knn.xml @@ -0,0 +1,74 @@ + + + + + + + + knn + Finds the k nearest neighbours of the query point q, in the dataset f + + + + + Calling Sequence + + out = knn(q,f,k) + out = knn(q,f,k,algo_type) + + + + + + Parameters + + q : + a row vector containing the query point + f : + f is the set of data points and the number of columns in f should be same as that of q to match point dimensionality + k : + a positive integer specifying the number of nearest neighbours in f for the query point p. + algo_type : + a integer between 1 and 4 (both inclusive) specifying the algorithm to be used for the knn search. + + + + + Description + +out = knn(q,f,k) return a 2xk matrix . +The first row of out contains the indices of the k nearest points in the dataset(f) from the query point. +The second row contains the corresponding distances(squared euclidean distance). + + + + + + + Examples + + + + + Authors + + M Avinash Reddy + + + diff --git a/help/en_US/master_help.xml b/help/en_US/master_help.xml new file mode 100644 index 0000000..68adaa4 --- /dev/null +++ b/help/en_US/master_help.xml @@ -0,0 +1,63 @@ + + + + + + + + + + + + + + + + + + + + + + + + +]> + + + FOSSEE Image Processing Toolbox + + + +FOSSEE Image Processing Toolbox +&a0947c6fdcd3ac80c68b60bb825b24df3; +&a97448ac59936374eddef9aaa6b054069; +&a4445e6518ccd1eaa17c159bfc15209ef; +&aed502e4deb0441dcfda611b5bcc189a4; +&a8e2d340c907945febd6287f84e74e3dc; +&a33e3e560601a44c71bad6dd06a32a67a; +&a0622eeab20e68acada9d0ae32602795a; +&abec0bf130259f0225682a92bee3f193e; +&aec33deec2d28e52e4dea5b207196dfc2; +&a473758ade2f451fc5233cf5a679ed58f; +&a33011cb4d6f37aca9a3f03a4e1cb157f; +&a2b4ed9a6cfe047014437e027de5abe95; +&ab5a7ab7d8002e6aedb65417dec49adca; +&a1a07c83d1b39a112a769f5659bde85e1; +&a5621fcfdd17408d6ffdb156d686310a2; +&a5b16ed670df1c9a3f9083659d49dd472; +&a33bc1b33f6cff195bad72f23c72ffe5f; +&a4fed73f4cbf1b528cc27f8a17bf419d6; +&a245be6c1b7b04b8ea5669473bafc5c12; +&ae455b0ac2febc8d41815f4978f48c093; +&a4d7edb338492c7e2227eb4ee0ce5734c; + + diff --git a/help/en_US/match.xml b/help/en_US/match.xml new file mode 100644 index 0000000..08a9006 --- /dev/null +++ b/help/en_US/match.xml @@ -0,0 +1,69 @@ + + + + + + + + match + Performs matching features between two images. + + + + + Calling Sequence + + img1=imread('path of the image file') + img2=imread('path of the image file') + x=match(img1,img2) + + + + + + Parameters + + img1 : + an image + img2 : + an image + + + + + Description + +The images pass through a stiching pipeline. +Features are extracted from each image and matching is done on two images. + + + + + + + Examples + + + + + Authors + + Manoj Sree Harsha + + + diff --git a/help/en_US/opticalflow.xml b/help/en_US/opticalflow.xml new file mode 100644 index 0000000..d38a81b --- /dev/null +++ b/help/en_US/opticalflow.xml @@ -0,0 +1,63 @@ + + + + + + + + opticalflow + Calculates optical flow. + + + + + Calling Sequence + + opticalflow(vid) + + + + + + Parameters + + vid : + a video + + + + + Description + +opticalflow(vid) returns an opticalflow video and it will be written to 'out.avi' file (In the current working directory). + + + + + + + Examples + + + + + Authors + + Manoj Sree Harsha , M Avinash Reddy + + + diff --git a/help/en_US/pana.xml b/help/en_US/pana.xml new file mode 100644 index 0000000..f8c0e3c --- /dev/null +++ b/help/en_US/pana.xml @@ -0,0 +1,107 @@ + + + + + + + + pana + Creates the output panorama image using two or more images + + + + + Calling Sequence + + stacksize('max') + img1=imread('path of the image file') + img2=imread('path of the image file') + out = pana(img1,img2) + img3=imread('path of the image file') + out = pana(img1,img2,img3) + img4=imread('path of the image file') + out = pana(img1,img2,img3,img4) + img5=imread('path of the image file') + out = pana(img1,img2,img3,img4,img5) + img6=imread('path of the image file') + out = pana(img1,img2,img3,img4,img5,img6) + + + + + + Parameters + + img1 : + an image + img2 : + an image + img3 : + an image + img4 : + an image + img5 : + an image + img6 : + an image + + + + + Description + +The images pass through a stiching pipeline before the final panorama is formed. +Features are extracted from each image and matching is done on two consecutive images to ensure the continuity in images. +After this camera parameters are estimated which is required to do particular type of warping. +After warping is done exposure is compensated in all images so as to get a uniform exposure throughout the panaroma. +Seam estimation is done next to get the exact portions of images to be blended. +Finally, the images are blended to form the panorama. + + + + + + + Examples + + + + + Examples + + + + + Authors + + M Avinash Reddy , Manoj Sree Harsha , Ebey Abraham + + + diff --git a/help/en_US/pclradius.xml b/help/en_US/pclradius.xml new file mode 100644 index 0000000..0574d7a --- /dev/null +++ b/help/en_US/pclradius.xml @@ -0,0 +1,78 @@ + + + + + + + + pclradius + Finds all the points within the circle of radius r with centre as query point q, in the pointcloud pcloud + + + + + Calling Sequence + + y = pclradius(pcloud,q,r) + + + + + + Parameters + + pcloud : + pointCloud object. + q : + a row vector containing the query point + r : + a positive integer specifying the radius. + out : + a matrix. + + + + + Description + +out = pclradius(pcloud,q,r) return a 2x(Number of points) matrix . +The first row of out contains the indices of all the points in the pointCloud within the circle of radius r. +The second row contains the corresponding squared distances(squared euclidean distance). + + + + + + + Examples + + + + + Authors + + Manoj Sree Harsha + + + diff --git a/help/en_US/radius.xml b/help/en_US/radius.xml new file mode 100644 index 0000000..368141e --- /dev/null +++ b/help/en_US/radius.xml @@ -0,0 +1,74 @@ + + + + + + + + radius + Finds all the points within the circle of radius r with centre as query point q, in the dataset f + + + + + Calling Sequence + + y = radius(q,f,r) + y = radius(q,f,r,algo_type) + + + + + + Parameters + + q : + a row vector containing the query point + f : + f is the set of data points and the number of columns in f should be same as that of q to match point dimensionality + r : + a positive integer specifying the radius. + algo_type : + a integer between 1 and 4 (both inclusive) specifying the algorithm to be used for the radius search. + + + + + Description + +y = radius(q,f,r) return a 2x(Number of points) matrix . +The first row of y contains the indices of all the points in the dataset(f) within the circle of radius r. +The second row contains the corresponding distances(squared euclidean distance). + + + + + + + Examples + + + + + Authors + + Manoj Sree Harsha + + + diff --git a/help/en_US/rotationVectorToMatrix.xml b/help/en_US/rotationVectorToMatrix.xml new file mode 100644 index 0000000..59b1c67 --- /dev/null +++ b/help/en_US/rotationVectorToMatrix.xml @@ -0,0 +1,66 @@ + + + + + + + + rotationVectorToMatrix + Returns rotation matrix. + + + + + Calling Sequence + + matrix = rotationVectorToMatrix(vector); + + + + + + Parameters + + matrix: + rotation matrix + vector: + 3-D rotation vector + + + + + Description + +Converts rotation vector to rotation matrix. + + + + + + + Examples + + + + + Authors + + Tanmay Chaudhari + + + diff --git a/help/en_US/rotestimate.xml b/help/en_US/rotestimate.xml new file mode 100644 index 0000000..5b6e0e4 --- /dev/null +++ b/help/en_US/rotestimate.xml @@ -0,0 +1,89 @@ + + + + + + + + rotestimate + Estimates camera intrinsic parameters matrix(K). + + + + + Calling Sequence + + img1=imread('path of the image file') + img2=imread('path of the image file') + res = rotestimate(cam_index,img1,img2) + img3=imread('path of the image file') + res = rotestimate(cam_index,img1,img2,img3) + img4=imread('path of the image file') + res = rotestimate(cam_index,img1,img2,img3,img4) + img5=imread('path of the image file') + res = rotestimate(cam_index,img1,img2,img3,img4,img5) + img6=imread('path of the image file') + res = rotestimate(cam_index,img1,img2,img3,img4,img5,img6) + + + + + + Parameters + + cam_index : + cam_index of the camera for which K is returned. + img1 : + an image + img2 : + an image + img3 : + an image + img4 : + an image + img5 : + an image + img6 : + an image + + + + + Description + +The images pass through a stiching pipeline. +Features are extracted from each image and matching is done on two consecutive images to ensure the continuity in images. +After this camera parameters are estimated. + + + + + + + Examples + + + + + Authors + + Manoj Sree Harsha + + + diff --git a/help/en_US/scilab_en_US_help/DCT.html b/help/en_US/scilab_en_US_help/DCT.html new file mode 100644 index 0000000..f608112 --- /dev/null +++ b/help/en_US/scilab_en_US_help/DCT.html @@ -0,0 +1,82 @@ + + + DCT + + + +

+ + + + +
+ << FOSSEE Image Processing Toolbox + + + FOSSEE Image Processing Toolbox + + + FFT >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > DCT + +

+

DCT

+

Performs forward Discrete Cosine Transform of the 1D or 2D array.

+ + +

Calling Sequence

+ 
dstMat = DCT(srcMat)
+ +

Parameters

+
srcMat : +

1D or 2D floating type array

+
dstMat : +

The output matrix

+ +

Description

+

dstMat = DCT(srcMat) +Returns the DCT of the input matrix.

+

+ +

Examples

+ 
srcMat = [230.3 23.1 432.5; 321 543.1 89.5]
+dstMAt = DCT(srcMat)
+disp(dstMAt)
+ +

Authors

+
  • Deepshikha
+
+ +
+ + + + + + +
Report an issue
+ << FOSSEE Image Processing Toolbox + + + FOSSEE Image Processing Toolbox + + + FFT >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/FFT.html b/help/en_US/scilab_en_US_help/FFT.html new file mode 100644 index 0000000..3d48797 --- /dev/null +++ b/help/en_US/scilab_en_US_help/FFT.html @@ -0,0 +1,80 @@ + + + FFT + + + +
+ + + + +
+ << DCT + + + FOSSEE Image Processing Toolbox + + + affine2d >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > FFT + +

+

FFT

+

This function returns discrete Fourier Transform of 2D input matrix

+ + +

Calling Sequence

+ 
fourierTransform=FFT(inputMatrix)
+ +

Parameters

+
inputMatrix: +

Input matrix must be 2-D.

+ +

Description

+

It returns the 2D discrete Fourier transform of two dimensional input matrix.

+

+ +

Examples

+ 
I=imread('images/lena.jpeg',0);
+I=double(I);
+fourier=FFT(I)
+imshow(fourier)
+ +

Authors

+
  • Sridhar Reddy
+
+ +
+ + + + + + +
Report an issue
+ << DCT + + + FOSSEE Image Processing Toolbox + + + affine2d >> + +
+
+
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+ + + + +
+ << FFT + + + FOSSEE Image Processing Toolbox + + + bboxOverlapRatio >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > affine2d + +

+

affine2d

+

Creates an affine2d object for input 3x3 matrix.

+ + +

Calling Sequence

+ 
y = affine2d(mat)
+ +

Parameters

+
mat : +

It is a 3x3 matrix which specifies forward affine2d transformation.

+
y : +

an affine2d object with similar properties as the input.

+ +

Description

+

y = affine2d(mat) returns the affine2d object where a 3x3 numeric matrix is given as input +It encapsulates 2d affine geometri transformation.

+

+ +

Examples

+ 
a=[1 2 0;3 4 0;5 1 1];
+y=affine2d(a);
+disp(y);
+ +

Authors

+
  • Yash S. Bhalgat
+
+ +
+ + + + + + +
Report an issue
+ << FFT + + + FOSSEE Image Processing Toolbox + + + bboxOverlapRatio >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/bboxOverlapRatio.html b/help/en_US/scilab_en_US_help/bboxOverlapRatio.html new file mode 100644 index 0000000..ca00fea --- /dev/null +++ b/help/en_US/scilab_en_US_help/bboxOverlapRatio.html @@ -0,0 +1,92 @@ + + + bboxOverlapRatio + + + +
+ + + + +
+ << affine2d + + + FOSSEE Image Processing Toolbox + + + calfocal >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > bboxOverlapRatio + +

+

bboxOverlapRatio

+

Compute the overlap ratio between the bounding boxes A and B.

+ + +

Calling Sequence

+ 
[ overlapRatio ] = bboxOverlapRatio(bboxA, bboxB);
+[ overlapRatio ] = bboxOverlapRatio(bboxA, bboxB, ratioType);
+ +

Parameters

+
bboxA: +

Bounding box A of the form [x, y, width, height];

+
bboxB: +

Boundng box B of the form [x, y, width, height];

+
ratioType (Optional Argument): +

Method to be used to compute the ratio. Set this to either 'Union' or 'Min'. Default computation method is set to 'Union'.

+
overlapRatio: +

Overlap ratio between the bounding boxes A and B.

+ +

Description

+

Compute the overlap ratio between the bounding boxes A and B.

+

+ +

Examples

+ 
bboxA = [1 2 3 4];
+bboxB = bboxA + 100;
+overlapRatioMin = bboxOverlapRatio(bboxA, bboxB, 'Min');
+overlapRatioUnion = bboxOverlapRatio(bboxA, bboxB);
+
+bboxA = [0 0 50 50];
+bboxB = [0 0 200 200];
+overlapRatioMin = bboxOverlapRatio(bboxA, bboxB, 'Min');
+overlapRatioUnion = bboxOverlapRatio(bboxA, bboxB);
+ +

Authors

+
  • Tanmay Chaudhari
+
+ +
+ + + + + + +
Report an issue
+ << affine2d + + + FOSSEE Image Processing Toolbox + + + calfocal >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/c_code.css b/help/en_US/scilab_en_US_help/c_code.css new file mode 100644 index 0000000..948d2ee --- /dev/null +++ b/help/en_US/scilab_en_US_help/c_code.css @@ -0,0 +1,54 @@ +.ccomment { + font-style: italic; + color: #b22222 +} + +.cdefault { + font-style: normal; + color: #000000 +} + +.copenclose { + font-style: normal; + color: #000000 +} + +.coperator { + font-style: normal; + color: #000000 +} + +.cstring { + font-style: normal; + color: #a6557a +} + +.ctype { + font-style: normal; + color: #55a655 +} + +.cpreprocessor { + font-style: normal; + color: #9965a6 +} + +.cid { + font-style: normal; + color: #000000 +} + +.ckeyword { + font-style: normal; + color: #ad3ff2 +} + +.cmodifier { + font-style: normal; + color: #ad3ff2 +} + +.cnumber { + font-style: normal; + color: #008b8b +} diff --git a/help/en_US/scilab_en_US_help/calfocal.html b/help/en_US/scilab_en_US_help/calfocal.html new file mode 100644 index 0000000..c191384 --- /dev/null +++ b/help/en_US/scilab_en_US_help/calfocal.html @@ -0,0 +1,95 @@ + + + calfocal + + + +
+ + + + +
+ << bboxOverlapRatio + + + FOSSEE Image Processing Toolbox + + + cameraMatrix >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > calfocal + +

+

calfocal

+

Estimates focal lengths for each given camera.

+ + +

Calling Sequence

+ 
res = calfocal(image1,image2)
+res = calfocal(image1,image2,image3)
+res = calfocal(image1,image2,image3,image4)
+res = calfocal(image1,image2,image3,image4,image5)
+res = calfocal(image1,image2,image3,image4,image5,image6)
+ +

Parameters

+
image1 : +

an image

+
image2 : +

an image

+
image3 : +

an image

+
image4 : +

an image

+
image5 : +

an image

+
image6 : +

an image

+ +

Description

+

res = calfocal(image1,image2) return a 1x2 matrix. +Features are extracted from each image and matching is done on two consecutive images to ensure the continuity in images. +After this camera parameters are estimated along with their focal lengths are estimated.

+

+ +

Examples

+ 
a=imread('images/campus_000.jpg');
+b=imread('images/campus_001.jpg');
+res=calfocal(a,b);
+ +

Authors

+
  • Manoj Sree Harsha
+
+ +
+ + + + + + +
Report an issue
+ << bboxOverlapRatio + + + FOSSEE Image Processing Toolbox + + + cameraMatrix >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/cameraMatrix.html b/help/en_US/scilab_en_US_help/cameraMatrix.html new file mode 100644 index 0000000..eea48da --- /dev/null +++ b/help/en_US/scilab_en_US_help/cameraMatrix.html @@ -0,0 +1,86 @@ + + + cameraMatrix + + + +
+ + + + +
+ << calfocal + + + FOSSEE Image Processing Toolbox + + + convolver >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > cameraMatrix + +

+

cameraMatrix

+

Returns camera projection matrix.

+ + +

Calling Sequence

+ 
camMatrix = cameraMatrix(instrinsicMatrix,rotationMatrix,translationVector);
+ +

Parameters

+
camMatrix: +

A 4x3 camera projection matrix, which can be used to project 3-D world points in homogenous co-ordinates into an image.

+
instrinsicMatrix: +

Projection matrix of size 3x3.

+
rotationMatrix: +

A 3x3 matrix which specifies the rotation of a camera.

+
translationVector: +

A 1x3 vector which specifies the translation of a camera.

+ +

Description

+

Return a matrix of size 4-by-3, which can be used to project 3-D world points in homogenous co-ordinates into an image.

+

+ +

Examples

+ 
instrinsicMatrix = [1 0 0; 1 2 0; 3 4 0];
+rotationMatrix = [   0.1417   -0.7409    0.6565; 0.9661   -0.0410   -0.2548;    0.2157    0.6703    0.7100];
+translationVector = [ -29.2584   35.7824  725.5824];
+camMatrix = cameraMatrix(instrinsicMatrix,rotationMatrix,translationVector)
+ +

Authors

+
  • Tanmay Chaudhari
+
+ +
+ + + + + + +
Report an issue
+ << calfocal + + + FOSSEE Image Processing Toolbox + + + convolver >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/convolver.html b/help/en_US/scilab_en_US_help/convolver.html new file mode 100644 index 0000000..8d44ef1 --- /dev/null +++ b/help/en_US/scilab_en_US_help/convolver.html @@ -0,0 +1,90 @@ + + + convolver + + + +
+ + + + +
+ << cameraMatrix + + + FOSSEE Image Processing Toolbox + + + cornerEigenValsAndVecs >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > convolver + +

+

convolver

+

Convolves an image with the kernel.

+ + +

Calling Sequence

+ 
out_image = convolver(in_image,ksize,kvalues,scalar)
+ +

Parameters

+
in_image : +

an image

+
out_image : +

the output image

+
ksize : +

kernel size (belongs to {3,4,5})

+
kvalues : +

kernel matrix values

+
scalar : +

any floating value

+ +

Description

+

out_image = convolver(in_image,ksize,kvalues,scalar) +Returns the convoluted image of the input image. It uses filter2d function to perform convolution. +The convolution is with the given kernel.

+

+ +

Examples

+ 
a = imread('images/lena.jpeg')
+b=[1 1 1;1 1 1;1 1 1]
+y=convolver(a,3,b,9)
+imshow(y)
+ +

Authors

+
  • Kevin George , Manoj Sree Harsha
+
+ +
+ + + + + + +
Report an issue
+ << cameraMatrix + + + FOSSEE Image Processing Toolbox + + + cornerEigenValsAndVecs >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/cornerEigenValsAndVecs.html b/help/en_US/scilab_en_US_help/cornerEigenValsAndVecs.html new file mode 100644 index 0000000..8ecd277 --- /dev/null +++ b/help/en_US/scilab_en_US_help/cornerEigenValsAndVecs.html @@ -0,0 +1,92 @@ + + + cornerEigenValsAndVecs + + + +
+ + + + +
+ << convolver + + + FOSSEE Image Processing Toolbox + + + cornerHarris >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > cornerEigenValsAndVecs + +

+

cornerEigenValsAndVecs

+

Calculates eigenvalues and eigenvectors of image blocks for corner detection.

+ + +

Calling Sequence

+ 
inputImage=imread('path of the image file')
+outputImg = cornerEigenValsAndVecs(inputImage, blockSize, kSize, borderType)
+imshow(outputImg)
+ +

Parameters

+
inputImage : +

an image.

+
blockSize : +

Neighborhood size

+
kSize : +

Aperture parameter for the Sobel() operator.

+
borderType : +

Pixel extrapolation method

+ +

Description

+

outputImg = cornerEigenValsAndVecs(inputImage, blockSize, kSize, borderType) +For every pixel p , the function cornerEigenValsAndVecs considers a blockSize x blockSize neighborhood S(p) . It calculates the covariation matrix of derivatives over the neighbourhood +After that, it finds eigenvectors and eigenvalues and stores them in the destination image(outputImg).

+

+ +

Examples

+ 
inputImage=imread('images/lena.jpeg');
+blockSize = 7;
+kSize=3;
+borderType="BORDER_DEFAULT"
+outputImg=cornerEigenValsAndVecs(inputImage, blockSize, kSize, borderType);
+imshow(outputImg)
+ +

Authors

+
  • Shubheksha Jalan
+
+ +
+ + + + + + +
Report an issue
+ << convolver + + + FOSSEE Image Processing Toolbox + + + cornerHarris >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/cornerHarris.html b/help/en_US/scilab_en_US_help/cornerHarris.html new file mode 100644 index 0000000..321bad0 --- /dev/null +++ b/help/en_US/scilab_en_US_help/cornerHarris.html @@ -0,0 +1,95 @@ + + + cornerHarris + + + +
+ + + + +
+ << cornerEigenValsAndVecs + + + FOSSEE Image Processing Toolbox + + + cornerMinEigenVal >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > cornerHarris + +

+

cornerHarris

+

Harris edge detector.

+ + +

Calling Sequence

+ 
inputImage=imread('path of the image file')
+outputImg = cornerHarris(inputImage, blockSize, kSize, k, borderType)
+imshow(outputImg)
+ +

Parameters

+
inputImage : +

an image.

+
blockSize : +

Neighborhood size

+
kSize : +

Aperture parameter for the Sobel() operator.

+
k : +

Harris detector free parameter.

+
borderType : +

Pixel extrapolation method

+ +

Description

+

outputImg = cornerHarris(inputImage, blockSize, kSize, k, borderType) +This function runs the Harris edge detector on the image. +outputImg is used to store the Harris detector responses

+

+ +

Examples

+ 
inputImage=imread('images/lena.jpeg');
+blockSize = 7;
+kSize=3;
+k=0.04;
+borderType="BORDER_DEFAULT"
+outputImg=cornerHarris(inputImage, blockSize, kSize, k, borderType);
+imshow(outputImg)
+ +

Authors

+
  • Shubheksha Jalan
+
+ +
+ + + + + + +
Report an issue
+ << cornerEigenValsAndVecs + + + FOSSEE Image Processing Toolbox + + + cornerMinEigenVal >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/cornerMinEigenVal.html b/help/en_US/scilab_en_US_help/cornerMinEigenVal.html new file mode 100644 index 0000000..878bc39 --- /dev/null +++ b/help/en_US/scilab_en_US_help/cornerMinEigenVal.html @@ -0,0 +1,93 @@ + + + cornerMinEigenVal + + + +
+ + + + +
+ << cornerHarris + + + FOSSEE Image Processing Toolbox + + + exposure >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > cornerMinEigenVal + +

+

cornerMinEigenVal

+

Calculates the minimal eigenvalue of gradient matrices for corner detection.

+ + +

Calling Sequence

+ 
inputImage=imread('path of the image file')
+outputImg = cornerMinEigenVal(inputImage, blockSize, kSize, borderType)
+imshow(outputImg)
+ +

Parameters

+
inputImage : +

an image.

+
blockSize : +

Neighborhood size

+
kSize : +

Aperture parameter for the Sobel() operator.

+
borderType : +

Pixel extrapolation method

+ +

Description

+

outputImg = cornerMinEigenVal(inputImage, blockSize, kSize, borderType) +The function is similar to cornerEigenValsAndVecs() but it calculates only the minimal eigenvalue of the covariance matrix of derivatives. +After that, it stores them in the destination image(outputImg).

+

+ +

Examples

+ 
inputImage=imread('images/lena.jpeg');
+blockSize = 7;
+kSize=3;
+k=0.04;
+borderType="BORDER_DEFAULT"
+outputImg=cornerMinEigenVal(inputImage, blockSize, kSize, borderType);
+imshow(outputImg)
+ +

Authors

+
  • Shubheksha Jalan
+
+ +
+ + + + + + +
Report an issue
+ << cornerHarris + + + FOSSEE Image Processing Toolbox + + + exposure >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/exposure.html b/help/en_US/scilab_en_US_help/exposure.html new file mode 100644 index 0000000..48210ce --- /dev/null +++ b/help/en_US/scilab_en_US_help/exposure.html @@ -0,0 +1,110 @@ + + + exposure + + + +
+ + + + +
+ << cornerMinEigenVal + + + FOSSEE Image Processing Toolbox + + + imattributes >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > exposure + +

+

exposure

+

Compensate exposure in the specified image.

+ + +

Calling Sequence

+ 
stacksize('max')
+image1=imread('path of the image file')
+image2=imread('path of the image file')
+y = exposure(algo_type,img_index,image1,image2)
+image3=imread('path of the image file')
+y = exposure(algo_type,img_index,image1,image2,image3)
+image4=imread('path of the image file')
+y = exposure(algo_type,img_index,image1,image2,image3,image4)
+image5=imread('path of the image file')
+y = exposure(algo_type,img_index,image1,image2,image3,image4,image5)
+image6=imread('path of the image file')
+y = exposure(algo_type,img_index,image1,image2,image3,image4,image6)
+ +

Parameters

+
algo_type : +

an integer between 1 and 3 (both inclusive) specifying the algorithm to be used for exposure compensation.

+
img_index : +

index of the image on which exposure compensator will be applied

+
image1 : +

an image

+
image2 : +

an image

+
image3 : +

an image

+
image4 : +

an image

+
image5 : +

an image

+
image6 : +

an image

+ +

Description

+

y = exposure(algo_type,img_index,image1,image2) returns an image whose exposure is compensated. +Features are extracted from each image and matching is done on two consecutive images to ensure the continuity in images. +After this camera parameters are estimated which is required to do particular type of warping. +After warping is done exposure is compensated in an image whose index is mentioned.

+

+ +

Examples

+ 
a=imread('images/lenahi.jpg');
+b=imread('images/lenalow.jpg');
+algo_type=1;
+img_index=1;
+y=exposure(algo_type,img_index,a,b);
+imshow(y)
+ +

Authors

+
  • Manoj Sree Harsha
+
+ +
+ + + + + + +
Report an issue
+ << cornerMinEigenVal + + + FOSSEE Image Processing Toolbox + + + imattributes >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/imattributes.html b/help/en_US/scilab_en_US_help/imattributes.html new file mode 100644 index 0000000..f4f3487 --- /dev/null +++ b/help/en_US/scilab_en_US_help/imattributes.html @@ -0,0 +1,83 @@ + + + imattributes + + + +
+ + + + +
+ << exposure + + + FOSSEE Image Processing Toolbox + + + knn >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > imattributes + +

+

imattributes

+

Provides information about image attributes.

+ + +

Calling Sequence

+ 
inputImage=imread('path of the image file')
+imattributes(inputImage)
+ +

Parameters

+
inputImage : +

an image.

+ +

Description

+

imattributes gives image attribute information in the form of a 4-by-2 or 6-by-2 cell array, depending on the image type. +The first column of the cell array contains the name of the attribute. +The second column contains the value of the attribute. Both attribute names and values are character vectors +'Minimum intensity': Regarding intensity images, this value represents the lowest intensity value of any pixel. In case ofindexed images, this value represents the lowest index value into a color map. +'Maximum intensity':Regarding intensity images, this value represents the highest intensity value of any pixel. In case of indexed images, this value represents the highest index value into a color map.

+

+ +

Examples

+ 
inputImage=imread('images/lena.jpeg');
+imattributes(inputImage)
+ +

Authors

+
  • Dhruti Shah , Manoj Sree Harsha
+
+ +
+ + + + + + +
Report an issue
+ << exposure + + + FOSSEE Image Processing Toolbox + + + knn >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/index.html b/help/en_US/scilab_en_US_help/index.html new file mode 100644 index 0000000..938c71d --- /dev/null +++ b/help/en_US/scilab_en_US_help/index.html @@ -0,0 +1,175 @@ + + + + + + +
+ + + + +
+ + + + + +
+
+
+ + + + +

+

FOSSEE Image Processing Toolbox

+
    + +
  • FOSSEE Image Processing Toolbox +
    • DCT — Performs forward Discrete Cosine Transform of the 1D or 2D array.
      • + + + + + +
    • FFT — This function returns discrete Fourier Transform of 2D input matrix
      • + + + + + +
    • affine2d — Creates an affine2d object for input 3x3 matrix.
      • + + + + + +
    • bboxOverlapRatio — Compute the overlap ratio between the bounding boxes A and B.
      • + + + + + +
    • calfocal — Estimates focal lengths for each given camera.
      • + + + + + +
    • cameraMatrix — Returns camera projection matrix.
      • + + + + + +
    • convolver — Convolves an image with the kernel.
      • + + + + + +
    • cornerEigenValsAndVecs — Calculates eigenvalues and eigenvectors of image blocks for corner detection.
      • + + + + + +
    • cornerHarris — Harris edge detector.
      • + + + + + +
    • cornerMinEigenVal — Calculates the minimal eigenvalue of gradient matrices for corner detection.
      • + + + + + +
    • exposure — Compensate exposure in the specified image.
      • + + + + + +
    • imattributes — Provides information about image attributes.
      • + + + + + +
    • knn — Finds the k nearest neighbours of the query point q, in the dataset f
      • + + + + + +
    • match — Performs matching features between two images.
      • + + + + + +
    • opticalflow — Calculates optical flow.
      • + + + + + +
    • pana — Creates the output panorama image using two or more images
      • + + + + + +
    • pclradius — Finds all the points within the circle of radius r with centre as query point q, in the pointcloud pcloud
      • + + + + + +
    • radius — Finds all the points within the circle of radius r with centre as query point q, in the dataset f
      • + + + + + +
    • rotationVectorToMatrix — Returns rotation matrix.
      • + + + + + +
    • rotestimate — Estimates camera intrinsic parameters matrix(K).
      • + + + + + +
    • sfind — Estimates Seams
+
+ +
+ + + + + + +
Report an issue
+ + + + + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/jhelpidx.xml b/help/en_US/scilab_en_US_help/jhelpidx.xml new file mode 100644 index 0000000..aa5a66e --- /dev/null +++ b/help/en_US/scilab_en_US_help/jhelpidx.xml @@ -0,0 +1,3 @@ + + + \ No newline at end of file diff --git a/help/en_US/scilab_en_US_help/jhelpmap.jhm b/help/en_US/scilab_en_US_help/jhelpmap.jhm new file mode 100644 index 0000000..890855f --- /dev/null +++ b/help/en_US/scilab_en_US_help/jhelpmap.jhm @@ -0,0 +1,27 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/help/en_US/scilab_en_US_help/jhelpset.hs b/help/en_US/scilab_en_US_help/jhelpset.hs new file mode 100644 index 0000000..7c93217 --- /dev/null +++ b/help/en_US/scilab_en_US_help/jhelpset.hs @@ -0,0 +1,28 @@ + + + +FOSSEE Image Processing Toolbox + +top + + + +TOC + +javax.help.TOCView +jhelptoc.xml + + +Index + +javax.help.IndexView +jhelpidx.xml + + +Search + +javax.help.SearchView +JavaHelpSearch + + \ No newline at end of file diff --git a/help/en_US/scilab_en_US_help/jhelptoc.xml b/help/en_US/scilab_en_US_help/jhelptoc.xml new file mode 100644 index 0000000..53e7748 --- /dev/null +++ b/help/en_US/scilab_en_US_help/jhelptoc.xml @@ -0,0 +1,29 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/help/en_US/scilab_en_US_help/knn.html b/help/en_US/scilab_en_US_help/knn.html new file mode 100644 index 0000000..b3b99a1 --- /dev/null +++ b/help/en_US/scilab_en_US_help/knn.html @@ -0,0 +1,89 @@ + + + knn + + + +
+ + + + +
+ << imattributes + + + FOSSEE Image Processing Toolbox + + + match >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > knn + +

+

knn

+

Finds the k nearest neighbours of the query point q, in the dataset f

+ + +

Calling Sequence

+ 
out = knn(q,f,k)
+out = knn(q,f,k,algo_type)
+ +

Parameters

+
q : +

a row vector containing the query point

+
f : +

f is the set of data points and the number of columns in f should be same as that of q to match point dimensionality

+
k : +

a positive integer specifying the number of nearest neighbours in f for the query point p.

+
algo_type : +

a integer between 1 and 4 (both inclusive) specifying the algorithm to be used for the knn search.

+ +

Description

+

out = knn(q,f,k) return a 2xk matrix . +The first row of out contains the indices of the k nearest points in the dataset(f) from the query point. +The second row contains the corresponding distances(squared euclidean distance).

+

+ +

Examples

+ 
q=[1];
+f=[1;2;10;-1];
+k=3;
+out=knn(q,f,k);
+ +

Authors

+
  • M Avinash Reddy
+
+ +
+ + + + + + +
Report an issue
+ << imattributes + + + FOSSEE Image Processing Toolbox + + + match >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/match.html b/help/en_US/scilab_en_US_help/match.html new file mode 100644 index 0000000..b3d4bc5 --- /dev/null +++ b/help/en_US/scilab_en_US_help/match.html @@ -0,0 +1,84 @@ + + + match + + + +
+ + + + +
+ << knn + + + FOSSEE Image Processing Toolbox + + + opticalflow >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > match + +

+

match

+

Performs matching features between two images.

+ + +

Calling Sequence

+ 
img1=imread('path of the image file')
+img2=imread('path of the image file')
+x=match(img1,img2)
+ +

Parameters

+
img1 : +

an image

+
img2 : +

an image

+ +

Description

+

The images pass through a stiching pipeline. +Features are extracted from each image and matching is done on two images.

+

+ +

Examples

+ 
img1=imread('images/campus_000.jpg');
+img2=imread('images/campus_001.jpg');
+x=match(img1,img2);
+ +

Authors

+
  • Manoj Sree Harsha
+
+ +
+ + + + + + +
Report an issue
+ << knn + + + FOSSEE Image Processing Toolbox + + + opticalflow >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/opticalflow.html b/help/en_US/scilab_en_US_help/opticalflow.html new file mode 100644 index 0000000..fd444c3 --- /dev/null +++ b/help/en_US/scilab_en_US_help/opticalflow.html @@ -0,0 +1,78 @@ + + + opticalflow + + + +
+ + + + +
+ << match + + + FOSSEE Image Processing Toolbox + + + pana >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > opticalflow + +

+

opticalflow

+

Calculates optical flow.

+ + +

Calling Sequence

+ 
opticalflow(vid)
+ +

Parameters

+
vid : +

a video

+ +

Description

+

opticalflow(vid) returns an opticalflow video and it will be written to 'out.avi' file (In the current working directory).

+

+ +

Examples

+ 
opticalflow('ball.mp4');
+opticalflow('vtest.avi');
+ +

Authors

+
  • Manoj Sree Harsha , M Avinash Reddy
+
+ +
+ + + + + + +
Report an issue
+ << match + + + FOSSEE Image Processing Toolbox + + + pana >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/pana.html b/help/en_US/scilab_en_US_help/pana.html new file mode 100644 index 0000000..d7d6952 --- /dev/null +++ b/help/en_US/scilab_en_US_help/pana.html @@ -0,0 +1,117 @@ + + + pana + + + +
+ + + + +
+ << opticalflow + + + FOSSEE Image Processing Toolbox + + + pclradius >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > pana + +

+

pana

+

Creates the output panorama image using two or more images

+ + +

Calling Sequence

+ 
stacksize('max')
+img1=imread('path of the image file')
+img2=imread('path of the image file')
+out = pana(img1,img2)
+img3=imread('path of the image file')
+out = pana(img1,img2,img3)
+img4=imread('path of the image file')
+out = pana(img1,img2,img3,img4)
+img5=imread('path of the image file')
+out = pana(img1,img2,img3,img4,img5)
+img6=imread('path of the image file')
+out = pana(img1,img2,img3,img4,img5,img6)
+ +

Parameters

+
img1 : +

an image

+
img2 : +

an image

+
img3 : +

an image

+
img4 : +

an image

+
img5 : +

an image

+
img6 : +

an image

+ +

Description

+

The images pass through a stiching pipeline before the final panorama is formed. +Features are extracted from each image and matching is done on two consecutive images to ensure the continuity in images. +After this camera parameters are estimated which is required to do particular type of warping. +After warping is done exposure is compensated in all images so as to get a uniform exposure throughout the panaroma. +Seam estimation is done next to get the exact portions of images to be blended. +Finally, the images are blended to form the panorama.

+

+ +

Examples

+ 
stacksize('max');
+img1=imread('images/campus_017.jpg');
+img2=imread('images/campus_016.jpg');
+img3=imread('images/campus_015.jpg');
+img4=imread('images/campus_014.jpg');
+img5=imread('images/campus_013.jpg');
+img6=imread('images/campus_012.jpg');
+out=pana(img1,img2,img3,img4,img5,img6);
+ +

Examples

+ 
stacksize('max');
+a=imread('images/s1.jpg');
+b=imread('images/s2.jpg');
+c=imread('images/s3.jpg');
+y=pana(a,b,c);
+ +

Authors

+
  • M Avinash Reddy , Manoj Sree Harsha , Ebey Abraham
+
+ +
+ + + + + + +
Report an issue
+ << opticalflow + + + FOSSEE Image Processing Toolbox + + + pclradius >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/pclradius.html b/help/en_US/scilab_en_US_help/pclradius.html new file mode 100644 index 0000000..c1dc7d0 --- /dev/null +++ b/help/en_US/scilab_en_US_help/pclradius.html @@ -0,0 +1,93 @@ + + + pclradius + + + +
+ + + + +
+ << pana + + + FOSSEE Image Processing Toolbox + + + radius >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > pclradius + +

+

pclradius

+

Finds all the points within the circle of radius r with centre as query point q, in the pointcloud pcloud

+ + +

Calling Sequence

+ 
y = pclradius(pcloud,q,r)
+ +

Parameters

+
pcloud : +

pointCloud object.

+
q : +

a row vector containing the query point

+
r : +

a positive integer specifying the radius.

+
out : +

a matrix.

+ +

Description

+

out = pclradius(pcloud,q,r) return a 2x(Number of points) matrix . +The first row of out contains the indices of all the points in the pointCloud within the circle of radius r. +The second row contains the corresponding squared distances(squared euclidean distance).

+

+ +

Examples

+ 
a=pcread('data/cube.ply');
+q=[1 1 -1];
+r=10;
+out=pclradius(a,q,r);
+
+a=pcread('data/bun0.pcd');
+q=[0.5 0.5 0.5];
+r=2;
+out=pclradius(a,q,r);
+ +

Authors

+
  • Manoj Sree Harsha
+
+ +
+ + + + + + +
Report an issue
+ << pana + + + FOSSEE Image Processing Toolbox + + + radius >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/radius.html b/help/en_US/scilab_en_US_help/radius.html new file mode 100644 index 0000000..c1f731c --- /dev/null +++ b/help/en_US/scilab_en_US_help/radius.html @@ -0,0 +1,89 @@ + + + radius + + + +
+ + + + +
+ << pclradius + + + FOSSEE Image Processing Toolbox + + + rotationVectorToMatrix >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > radius + +

+

radius

+

Finds all the points within the circle of radius r with centre as query point q, in the dataset f

+ + +

Calling Sequence

+ 
y = radius(q,f,r)
+y = radius(q,f,r,algo_type)
+ +

Parameters

+
q : +

a row vector containing the query point

+
f : +

f is the set of data points and the number of columns in f should be same as that of q to match point dimensionality

+
r : +

a positive integer specifying the radius.

+
algo_type : +

a integer between 1 and 4 (both inclusive) specifying the algorithm to be used for the radius search.

+ +

Description

+

y = radius(q,f,r) return a 2x(Number of points) matrix . +The first row of y contains the indices of all the points in the dataset(f) within the circle of radius r. +The second row contains the corresponding distances(squared euclidean distance).

+

+ +

Examples

+ 
q=[1 2 3];
+f=[1 2 3;4 5 6;7 8 9];
+r=30;
+y=radius(q,f,r);
+ +

Authors

+
  • Manoj Sree Harsha
+
+ +
+ + + + + + +
Report an issue
+ << pclradius + + + FOSSEE Image Processing Toolbox + + + rotationVectorToMatrix >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/rotationVectorToMatrix.html b/help/en_US/scilab_en_US_help/rotationVectorToMatrix.html new file mode 100644 index 0000000..af5b24c --- /dev/null +++ b/help/en_US/scilab_en_US_help/rotationVectorToMatrix.html @@ -0,0 +1,80 @@ + + + rotationVectorToMatrix + + + +
+ + + + +
+ << radius + + + FOSSEE Image Processing Toolbox + + + rotestimate >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > rotationVectorToMatrix + +

+

rotationVectorToMatrix

+

Returns rotation matrix.

+ + +

Calling Sequence

+ 
matrix = rotationVectorToMatrix(vector);
+ +

Parameters

+
matrix: +

rotation matrix

+
vector: +

3-D rotation vector

+ +

Description

+

Converts rotation vector to rotation matrix.

+

+ +

Examples

+ 
vector = pi/4 * [1, 2, 3];
+matrix = rotationVectorToMatrix(vector);
+ +

Authors

+
  • Tanmay Chaudhari
+
+ +
+ + + + + + +
Report an issue
+ << radius + + + FOSSEE Image Processing Toolbox + + + rotestimate >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/rotestimate.html b/help/en_US/scilab_en_US_help/rotestimate.html new file mode 100644 index 0000000..9bcffdd --- /dev/null +++ b/help/en_US/scilab_en_US_help/rotestimate.html @@ -0,0 +1,104 @@ + + + rotestimate + + + +
+ + + + +
+ << rotationVectorToMatrix + + + FOSSEE Image Processing Toolbox + + + sfind >> + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > rotestimate + +

+

rotestimate

+

Estimates camera intrinsic parameters matrix(K).

+ + +

Calling Sequence

+ 
img1=imread('path of the image file')
+img2=imread('path of the image file')
+res = rotestimate(cam_index,img1,img2)
+img3=imread('path of the image file')
+res = rotestimate(cam_index,img1,img2,img3)
+img4=imread('path of the image file')
+res = rotestimate(cam_index,img1,img2,img3,img4)
+img5=imread('path of the image file')
+res = rotestimate(cam_index,img1,img2,img3,img4,img5)
+img6=imread('path of the image file')
+res = rotestimate(cam_index,img1,img2,img3,img4,img5,img6)
+ +

Parameters

+
cam_index : +

cam_index of the camera for which K is returned.

+
img1 : +

an image

+
img2 : +

an image

+
img3 : +

an image

+
img4 : +

an image

+
img5 : +

an image

+
img6 : +

an image

+ +

Description

+

The images pass through a stiching pipeline. +Features are extracted from each image and matching is done on two consecutive images to ensure the continuity in images. +After this camera parameters are estimated.

+

+ +

Examples

+ 
img1=imread('images/campus_000.jpg');
+img2=imread('images/campus_001.jpg');
+cam_index=1
+res=rotestimate(1,img1,img2);
+ +

Authors

+
  • Manoj Sree Harsha
+
+ +
+ + + + + + +
Report an issue
+ << rotationVectorToMatrix + + + FOSSEE Image Processing Toolbox + + + sfind >> + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/scilab_code.css b/help/en_US/scilab_en_US_help/scilab_code.css new file mode 100644 index 0000000..658f42e --- /dev/null +++ b/help/en_US/scilab_en_US_help/scilab_code.css @@ -0,0 +1,96 @@ +.scilabcomment { + font-style: italic; + color: #01a801 +} + +.scilabdefault { + font-style: normal; + color: #000000 +} + +.scilabspecial { + font-style: normal; + color: #ffaa00 +} + +.scilabconstants { + font-style: normal; + color: #da70d6 +} + +.scilaboperator { + font-style: normal; + color: #5c5c5c +} + +.scilabnumber { + font-style: normal; + color: #bc8f8f +} + +.scilabfkeyword { + font-style: normal; + color: #b01813 +} + +.scilabskeyword { + font-style: normal; + color: #a020f0 +} + +.scilabckeyword { + font-style: normal; + color: #5f9ea0 +} + +.scilabcommand { + font-style: normal; + color: #32b9b9 +} + +.scilabmacro { + font-style: normal; + color: #ae5cb0 +} + +a.scilabcommand { + font-style: normal; + text-decoration: underline; + color: #32b9b9 +} + +a.scilabmacro { + font-style: normal; + text-decoration: underline; + color: #ae5cb0 +} + +.scilabstring { + font-style: normal; + color: #bc8f8f +} + +.scilabid { + font-style: normal; + color: #000000 +} + +.scilabinputoutputargs { + font-weight: bold; + color: #834310 +} + +.scilabfunctionid { + font-weight: bold; + color: #000000 +} + +.scilabfield { + font-style: normal; + color: #aaaaaa +} + +.scilabopenclose { + font-style: normal; + color: #4a55db +} diff --git a/help/en_US/scilab_en_US_help/section_df69b7946d692d1fc3c4781d13d82733.html b/help/en_US/scilab_en_US_help/section_df69b7946d692d1fc3c4781d13d82733.html new file mode 100644 index 0000000..853e895 --- /dev/null +++ b/help/en_US/scilab_en_US_help/section_df69b7946d692d1fc3c4781d13d82733.html @@ -0,0 +1,175 @@ + + + + + + +
+ + + + +
+ + + FOSSEE Image Processing Toolbox + + + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox + +

+

FOSSEE Image Processing Toolbox

+
  • DCT — Performs forward Discrete Cosine Transform of the 1D or 2D array.
    • + + + + + +
  • FFT — This function returns discrete Fourier Transform of 2D input matrix
    • + + + + + +
  • affine2d — Creates an affine2d object for input 3x3 matrix.
    • + + + + + +
  • bboxOverlapRatio — Compute the overlap ratio between the bounding boxes A and B.
    • + + + + + +
  • calfocal — Estimates focal lengths for each given camera.
    • + + + + + +
  • cameraMatrix — Returns camera projection matrix.
    • + + + + + +
  • convolver — Convolves an image with the kernel.
    • + + + + + +
  • cornerEigenValsAndVecs — Calculates eigenvalues and eigenvectors of image blocks for corner detection.
    • + + + + + +
  • cornerHarris — Harris edge detector.
    • + + + + + +
  • cornerMinEigenVal — Calculates the minimal eigenvalue of gradient matrices for corner detection.
    • + + + + + +
  • exposure — Compensate exposure in the specified image.
    • + + + + + +
  • imattributes — Provides information about image attributes.
    • + + + + + +
  • knn — Finds the k nearest neighbours of the query point q, in the dataset f
    • + + + + + +
  • match — Performs matching features between two images.
    • + + + + + +
  • opticalflow — Calculates optical flow.
    • + + + + + +
  • pana — Creates the output panorama image using two or more images
    • + + + + + +
  • pclradius — Finds all the points within the circle of radius r with centre as query point q, in the pointcloud pcloud
    • + + + + + +
  • radius — Finds all the points within the circle of radius r with centre as query point q, in the dataset f
    • + + + + + +
  • rotationVectorToMatrix — Returns rotation matrix.
    • + + + + + +
  • rotestimate — Estimates camera intrinsic parameters matrix(K).
    • + + + + + +
  • sfind — Estimates Seams
+
+ +
+ + + + + + +
Report an issue
+ + + FOSSEE Image Processing Toolbox + + + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/sfind.html b/help/en_US/scilab_en_US_help/sfind.html new file mode 100644 index 0000000..1cc023d --- /dev/null +++ b/help/en_US/scilab_en_US_help/sfind.html @@ -0,0 +1,124 @@ + + + sfind + + + +
+ + + + +
+ << rotestimate + + + FOSSEE Image Processing Toolbox + + + +
+
+
+ + + + FOSSEE Image Processing Toolbox >> FOSSEE Image Processing Toolbox > sfind + +

+

sfind

+

Estimates Seams

+ + +

Calling Sequence

+ 
img1=imread('path of the image file')
+img2=imread('path of the image file')
+[out1 out2] = sfind(algo_type,img1,img2)
+img3=imread('path of the image file')
+[out1 out2 out3] = sfind(algo_type,img1,img2,img3)
+img4=imread('path of the image file')
+[out1 out2 out3 out4] = sfind(algo_type,img1,img2,img3,img4)
+img5=imread('path of the image file')
+[out1 out2 out3 out4 out5] = sfind(algo_type,img1,img2,img3,img4,img5)
+img6=imread('path of the image file')
+[out1 out2 out3 out4 out5 out6] = sfind(algo_type,img1,img2,img3,img4,img5,img6)
+ +

Parameters

+
algo_type : +

an integer between 1 and 2 (both inclusive) specifying the algorithm to find seam.

+
img1 : +

an image

+
img2 : +

an image

+
img3 : +

an image

+
img4 : +

an image

+
img5 : +

an image

+
img6 : +

an image

+
out1 : +

a mask

+
out2 : +

a mask

+
out3 : +

a mask

+
out4 : +

a mask

+
out5 : +

a mask

+
out6 : +

a mask

+ +

Description

+

The images pass through a stiching pipeline before the final panorama is formed. +Features are extracted from each image and matching is done on two consecutive images to ensure the continuity in images. +After this camera parameters are estimated which is required to do particular type of warping. +After warping is done exposure is compensated in all images so as to get a uniform exposure throughout the panaroma. +Seam estimation is done and masks will be updated.

+

+ +

Examples

+ 
algo_type=1
+img1=imread('campus_000.jpg');
+img2=imread('campus_001.jpg');
+img3=imread('campus_002.jpg');
+[out1 out2 out3]=sfind(algo_type,img1,img2,img3);
+ +

Examples

+ 
algo_type=1
+a=imread('s1.jpg');
+b=imread('s2.jpg');
+c=imread('s3.jpg');
+[out1 out2 out3]=sfind(algo_type,a,b,c);
+ +

Authors

+
  • M Avinash Reddy
+
+ +
+ + + + + + +
Report an issue
+ << rotestimate + + + FOSSEE Image Processing Toolbox + + + +
+
+
+ + diff --git a/help/en_US/scilab_en_US_help/style.css b/help/en_US/scilab_en_US_help/style.css new file mode 100644 index 0000000..0fe8923 --- /dev/null +++ b/help/en_US/scilab_en_US_help/style.css @@ -0,0 +1,350 @@ +body { + color:#000000; + background-color:#ffffff; + font-family:sans-serif; + font-size:100%; + margin:5px; + padding:0; + background : url("/img/body.png"); + background-repeat : repeat-x; +} + +.para { + padding-left: 10px; +} + +.refname { + color: #ff6c0a; +} +.refpurpose { + font-size: 110%; +} + +.synopsis { + border: 1px solid black; + width:80%; + padding: 0.5em; +} + +.editbar { + text-align: right; +} + +.term { + color:#800000; + font-size:100%; +} + +h3 { + color: #000063; + font-weight: bold; + font-size:130%; + margin-bottom: 10px; +} + +.programlisting { + font-family: monospace; + font-size: 100%; + background-color:#EEEEFF; + border-color:#CCCCCC; + border-style:solid; + border-width:2px medium; + width:80%; + color:#333333; + line-height:120%; + padding:10px; 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+ color: #000000 +} + +.xmltagname { + font-style: normal; + color: #0303ff +} + +.xmllowclose { + font-style: normal; + color: #000000 +} + +.xmlopencomment { + font-style: italic; + color: #01a801 +} + +.xmlcommentend { + font-style: italic; + color: #01a801 +} + +.xmlcomment { + font-style: italic; + color: #01a801 +} + +.xmlopencdata { + font-style: normal; + color: #c45555 +} + +.xmlcdataend { + font-style: normal; + color: #c45555 +} + +.xmlcdata { + font-style: normal; + color: #000000 +} + +.xmlattributename { + font-style: normal; + color: #9965a6 +} + +.xmlequal { + font-style: normal; + color: #000000 +} + +.xmlattributevalue { + font-style: normal; + color: #973964 +} + +.xmlautoclose { + font-style: normal; + color: #000000 +} diff --git a/help/en_US/sfind.xml b/help/en_US/sfind.xml new file mode 100644 index 0000000..5b44d53 --- /dev/null +++ b/help/en_US/sfind.xml @@ -0,0 +1,116 @@ + + + + + + + + sfind + Estimates Seams + + + + + Calling Sequence + + img1=imread('path of the image file') + img2=imread('path of the image file') + [out1 out2] = sfind(algo_type,img1,img2) + img3=imread('path of the image file') + [out1 out2 out3] = sfind(algo_type,img1,img2,img3) + img4=imread('path of the image file') + [out1 out2 out3 out4] = sfind(algo_type,img1,img2,img3,img4) + img5=imread('path of the image file') + [out1 out2 out3 out4 out5] = sfind(algo_type,img1,img2,img3,img4,img5) + img6=imread('path of the image file') + [out1 out2 out3 out4 out5 out6] = sfind(algo_type,img1,img2,img3,img4,img5,img6) + + + + + + Parameters + + algo_type : + an integer between 1 and 2 (both inclusive) specifying the algorithm to find seam. + img1 : + an image + img2 : + an image + img3 : + an image + img4 : + an image + img5 : + an image + img6 : + an image + out1 : + a mask + out2 : + a mask + out3 : + a mask + out4 : + a mask + out5 : + a mask + out6 : + a mask + + + + + Description + +The images pass through a stiching pipeline before the final panorama is formed. +Features are extracted from each image and matching is done on two consecutive images to ensure the continuity in images. +After this camera parameters are estimated which is required to do particular type of warping. +After warping is done exposure is compensated in all images so as to get a uniform exposure throughout the panaroma. +Seam estimation is done and masks will be updated. + + + + + + + Examples + + + + + Examples + + + + + Authors + + M Avinash Reddy + + + diff --git a/images/1.jpg b/images/1.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e9f5bee40ea2b946f709a3500dc6e58d61a9815e GIT binary patch literal 218196 zcmb5VWl$VU6E3>I;;zA2U~vf=+;t(?;){eJ!GZ?2AR)Ld&Wqc^;!cpD!GlY1_mJQ& zC*M7{>i)hxQ&ZJ7)BW`PnVIgMe);vX0U%OShA0D2P*4D>{~F+B8KCe#?*AiHR5aB8 z5fBXx6%8GTj*bol0?{!rG0@R5F@Qh}Yz$1S{}DO{HV!rx&i|PIDfyp*|4IGpSpTH{ zpC$jlhL>&tF&4@t$|V{KF#weq1&tWxr60fm0HC1%U*iD(moWbsgN2QTgNg#c{kK4! z2!M)$_Rm%z5Dfzz4HZC$f{F%2C&nOQ1Yq)$%3(3-yeAWI3t^T|!X}3n)b&tUPHmnF zx}Sj+LgBB3ba7aO>w77w6s-#XDWgXLpa9YS!TrBj000IM9TN)`4I2dq@NZs?7=ZE* z2@M?s9Toi_C<^vJFk%1@orIAeLrw>ilO^&+MTD&h_h4^wUG@-)nK-WNLFaSV`SqgZZz2lu?w|GVjoYm3uFjGR}@ z1A$O>0F{f+i#Rs3GQb7@&Svz2d<9?-P4G*GcHN>ejv09xiu#%4tQ6Ps5sBQ*89s=Q0HX=SEp&9=N10g7X`8hoLr-BARG~_VUR&{9#gY!{xOA4qc=&DPjJ8nBfekT29Ii?l~z_!|2OR}7(buFDT z$*T&5#R&36D}&z6P-tD7W`sg{eExw7&$W=)-w$D3#~Lj9PE$92{;Y_&rNUM218VFY zj=J)F>0zc5vlqaKJ~qv#DH#+u@}{^W^G-Pv6(y9vC<0`8LOE6$tisXWCt3~3{YDO5 zz~UC4IPDUYRG35f3!q8CCP&SFWn{xPLixgL?^?7AT9c};ylabD6;#p>_1%`jzsyFt+32sVE1q82ea_juw6OA|k#g@ATMF@c2HU=ms43s| zw#MufTuBnW*o0E?yThoDGnwET&q=BJCb?Rep~^weDhBOc#Qdh;-r!<_|30cd9sTvX zX%I?}Uz*fx<}yvaYE&IHG^8OGsy6QaC{W-3Js*8gRHwxaK#3bAdic>2332^Wpwdgw zEjulTt_(&iZR^fxHN{_4_okH&#~{%=!i=&wD&iys5`EbVXLrmW%?QTIs-9c!y3N`w z_VmiEI=QYWQjk3z*8d*2L*q3BwxCmZ&Fr@1?TjDGru@;|^79vsljMSH!>x?)kjhA4 z7^VVsWGJh?&eb?WAF|&te5-k2e77!{L$6siQdcYX-6Rvf#$tZvSr_DE(;F&cV^**b`>dIZdY4`7zOO zjdRSyJ91edCk?Iw)Al>2!dO&sq}4{)VDWm7+((|x+WIqVCk=CNwpqJ>Fo6=0yL$Df zulAQ@c_wHt4;CDobB+>AhiIFVXQM!Lwh%a`83+7$F^1^P&$gLEXj29pqYd2#T|xEC z21Ht&H94Vuo!qu$;A{V9$-MksF)Z;NMeHt1%Uo|W2${IH`Gxf)iJlPA$prs zl!3Hz9j2ih&FKTt!U@ABx)domo7g1K!6cr68ELwa|WC;8eQ!*e0}gSgpEC0IMBxu0%(@B0^

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