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].
Solution1:
思路:
这道题定义了一种孤独的黑像素,就是该黑像素所在的行和列中没有其他的黑像素,让我们找出所有的这样的像素。那么既然对于每个黑像素都需要查找其所在的行和列,为了避免重复查找,我们可以统一的扫描一次,将各行各列的黑像素的个数都统计出来,然后再扫描所有的黑像素一次,看其是否是该行该列唯一的存在,是的话就累加计数器即可
(也可以在原数组上存,减少Space)
Time Complexity: O(mn) Space Complexity: O(m+n)
https://leetcode.com/problems/lonely-pixel-i/discuss/100018/
Solution1 Code:
class Solution {
public int findLonelyPixel(char[][] picture) {
int n = picture.length, m = picture[0].length;
int[] rowCount = new int[n], colCount = new int[m];
for (int i=0;i<n;i++) {
for (int j=0;j<m;j++) {
if (picture[i][j] == 'B') {
rowCount[i]++; colCount[j]++;
}
}
}
int count = 0;
for (int i=0;i<n;i++) {
for (int j=0;j<m;j++) {
if (picture[i][j] == 'B' && rowCount[i] == 1 && colCount[j] == 1) count++;
}
}
return count;
}
}
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