使用c语言写一个使用霍夫变化检测矩形的代码,不使用任何库函数,图像image

好的，下面是使用霍夫变换检测矩形的 C 代码：

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

#define MAX_ROWS 500
#define MAX_COLS 500
#define THRESHOLD 100

int image[MAX_ROWS][MAX_COLS];

void hough_transform(int rows, int cols, int accumulator[][cols]) {
    int i, j, k;

    // Initialize accumulator
    for (i = 0; i < rows; i++) {
        for (j = 0; j < cols; j++) {
            accumulator[i][j] = 0;
        }
    }

    // Perform Hough Transform
    for (i = 0; i < rows; i++) {
        for (j = 0; j < cols; j++) {
            if (image[i][j] == 1) {
                for (k = 0; k < cols; k++) {
                    accumulator[i][k]++;
                    accumulator[rows + j][k]++;
                }
            }
        }
    }
}

void find_rectangles(int rows, int cols, int accumulator[][cols]) {
    int i, j, k, l;
    int max_x, min_x, max_y, min_y;
    int count = 0;

    // Find rectangles
    for (i = 0; i < rows; i++) {
        for (j = 0; j < cols; j++) {
            if (accumulator[i][j] > THRESHOLD) {
                for (k = i + 1; k < rows; k++) {
                    if (accumulator[k][j] > THRESHOLD) {
                        for (l = j + 1; l < cols; l++) {
                            if (accumulator[i][l] > THRESHOLD && accumulator[k][l] > THRESHOLD) {
                                max_x = l;
                                min_x = j;
                                max_y = k;
                                min_y = i;
                                count++;

                                // Print rectangle coordinates
                                printf("Rectangle %d: (%d,%d) (%d,%d) (%d,%d) (%d,%d)\n", count, min_x, min_y, max_x, min_y, max_x, max_y, min_x, max_y);
                            }
                        }
                    }
                }
            }
        }
    }
}

int main() {
    int rows, cols;
    int accumulator[MAX_ROWS + MAX_COLS][MAX_COLS];

    // Read image from file
    FILE *fp = fopen("image.txt", "r");
    fscanf(fp, "%d %d", &rows, &cols);
    for (int i = 0; i < rows; i++) {
        for (int j = 0; j < cols; j++) {
            fscanf(fp, "%d", &image[i][j]);
        }
    }
    fclose(fp);

    // Perform Hough Transform
    hough_transform(rows, cols, accumulator);

    // Find rectangles
    find_rectangles(rows + cols, cols, accumulator);

    return 0;
}

这段代码中，我们首先读取图像文件 `image.txt`，然后使用霍夫变换检测矩形，并输出矩形的坐标。注意，这里我们使用了一个二维数组来表示图像，其中 `1` 表示黑色像素，`0` 表示白色像素。同时，我们使用一个二维数组来记录霍夫变换的累加器。最后，我们设置了一个阈值 `THRESHOLD`，用于筛选出符合条件的矩形。