You are given an image
that is represented by a binary matrix with 0
as a white pixel and 1
as a black pixel.
The black pixels are connected (i.e., there is only one black region). Pixels are connected horizontally and vertically.
Given two integers x
and y
that represent the location of one of the black pixels, return the area of the smallest (axis-aligned) rectangle that encloses all black pixels.
Example 1:
Input: image = [["0","0","1","0"],["0","1","1","0"],["0","1","0","0"]], x = 0, y = 2 Output: 6
Example 2:
Input: image = [["1"]], x = 0, y = 0 Output: 1
Constraints:
m == image.length
n == image[i].length
1 <= m, n <= 100
image[i][j]
is either'0'
or'1'
.1 <= x < m
1 <= y < n
image[x][y] == '1'.
- The black pixels in the
image
only form one component.