可以帮我写一份c语言代码，利用曼哈顿距离检测，用来在二值化图像中检测矩形么

当然可以，以下是一个简单的C语言代码示例，可以利用曼哈顿距离检测来在二值化图像中检测矩形：

#include <stdio.h>
#include <stdlib.h>

#define ROWS 100
#define COLUMNS 100

int calcManhattanDist(int x1, int y1, int x2, int y2) {
    return abs(x1 - x2) + abs(y1 - y2);
}

void detectRectangles(int img[ROWS][COLUMNS]) {
    for (int i = 0; i < ROWS; i++) {
        for (int j = 0; j < COLUMNS; j++) {
            if (img[i][j] == 1) { // Found first pixel
                int minX = i;
                int maxX = i;
                int minY = j;
                int maxY = j;
                for (int x = i; x < ROWS; x++) {
                    if (img[x][j] != 1) {
                        break;
                    }
                    for (int y = j; y < COLUMNS; y++) {
                        if (img[x][y] != 1) {
                            break;
                        }
                        int dist = calcManhattanDist(i, j, x, y);
                        if (dist == (y-j) + (x-i)) { // Check if it's a diagonal line
                            if (x < minX) {
                                minX = x;
                            }
                            if (x > maxX) {
                                maxX = x;
                            }
                            if (y < minY) {
                                minY = y;
                            }
                            if (y > maxY) {
                                maxY = y;
                            }
                        }
                    }
                }
                // Found rectangle
                printf("Rectangle found: (%d,%d) - (%d,%d)\n", minX, minY, maxX, maxY);
            }
        }
    }
}

int main() {
    int img[ROWS][COLUMNS] = {
        {0,0,0,1,1,0,0,0,0},
        {0,0,0,1,1,0,0,0,0},
        {0,0,0,1,1,0,0,0,0},
        {0,0,0,1,1,0,0,0,0},
        {0,0,0,0,0,0,0,0,0},
        {0,0,0,0,0,0,0,0,0},
        {0,0,0,1,1,0,0,0,0},
        {0,0,0,1,1,0,0,0,0},
        {0,0,0,1,1,0,0,0,0},
        {0,0,0,1,1,0,0,0,0},
    };
    detectRectangles(img);
    return 0;
}

注意，这只是一个简单的代码示例，可能无法处理所有情况，请根据具体需求进行修改和优化。