302 Smallest Rectangle Enclosing Black Pixels(Medium)

包含黑像素的最小矩阵

An image 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 the location (x, y) of one of the black pixels, return the area of the smallest (axis-aligned) rectangle that encloses all black pixels.

Example:
Given the following image:
“0010”
“0110”
“0100”
x = 0
y = 2
Return 6
public int minArea(char[][] image, int x, int y) {
    int m = image.length, n = image[0].length;
    int colMin = binarySearch(image, true, 0, y, 0, m, true);
    int colMax = binarySearch(image, true, y + 1, n, 0, m, false);
    int rowMin = binarySearch(image, false, 0, x, colMin, colMax, true);
    int rowMax = binarySearch(image, false, x + 1, m, colMin, colMax, false);
    return (rowMax - rowMin) * (colMax - colMin);
}

public int binarySearch(char[][] image, boolean horizontal, int lower, int upper, 
   int min, int max, boolean goLower) {
    while(lower < upper) {
        int mid = lower + (upper - lower) / 2;
        boolean inside = false;
        for(int i = min; i < max; i++) {
            if((horizontal ? image[i][mid] : image[mid][i]) == '1') {
                inside = true; 
                break;
            }
        }
        if(inside == goLower) {
            upper = mid;
        } else {
            lower = mid + 1;
        }
    }
    return lower;
}

C++/Java/Python Binary Search solution with explanation

Smallest Rectangle Enclosing Black Pixels

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