forked from fishercoder1534/Leetcode
-
Notifications
You must be signed in to change notification settings - Fork 0
/
_531.java
58 lines (51 loc) · 1.68 KB
/
_531.java
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
package com.fishercoder.solutions;
/**
* 531. Lonely Pixel I
*
* Given a picture consisting of black and white pixels, find the number of black lonely pixels.
* The picture is represented by a 2D char array consisting of 'B' and 'W', which means black and white pixels respectively.
* A black lonely pixel is character 'B' that located at a specific position where the same row and same column don't have any other black pixels.
Example:
Input:
[['W', 'W', 'B'],
['W', 'B', 'W'],
['B', 'W', 'W']]
Output: 3
Explanation: All the three 'B's are black lonely pixels.
Note:
The range of width and height of the input 2D array is [1,500].
*/
public class _531 {
public static class Solution1 {
public int findLonelyPixel(char[][] picture) {
int m = picture.length;
int n = picture[0].length;
int count = 0;
for (int i = 0; i < m; i++) {
for (int j = 0; j < n; j++) {
if (picture[i][j] == 'B' && isLonely(i, j, picture, m, n)) {
count++;
}
}
}
return count;
}
private boolean isLonely(int row, int col, char[][] picture, int m, int n) {
for (int i = 0; i < m; i++) {
if (i != row) {
if (picture[i][col] == 'B') {
return false;
}
}
}
for (int j = 0; j < n; j++) {
if (j != col) {
if (picture[row][j] == 'B') {
return false;
}
}
}
return true;
}
}
}