给我提供一段模糊大津法的C语言代码

以下是一段模糊大津法的C语言代码：

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

#define MAX_GRAY_LEVEL 256

void fuzzyOtsu(unsigned char *img, int width, int height, double *threshold) {
    int i, j, k;
    int hist[MAX_GRAY_LEVEL] = {0};
    double mu[MAX_GRAY_LEVEL], omega[MAX_GRAY_LEVEL];
    double alpha[MAX_GRAY_LEVEL], beta[MAX_GRAY_LEVEL];
    double fuzzyEntropy[MAX_GRAY_LEVEL];
    double maxEntropy = 0.0;
    double minVariance = 1.0;

    // 计算直方图
    for (i = 0; i < height; i++) {
        for (j = 0; j < width; j++) {
            hist[img[i * width + j]]++;
        }
    }

    // 归一化直方图
    for (i = 0; i < MAX_GRAY_LEVEL; i++) {
        hist[i] /= (double)(width * height);
    }

    // 计算模糊熵
    for (k = 0; k < MAX_GRAY_LEVEL; k++) {
        mu[k] = omega[k] = alpha[k] = beta[k] = 0.0;
        for (i = 0; i <= k; i++) {
            mu[k] += i * hist[i];
            omega[k] += hist[i];
        }
        beta[k] = (k + 1) * omega[k] - mu[k];
        alpha[k] = mu[k] - beta[k] * (mu[k] - omega[k] / 2.0);
        fuzzyEntropy[k] = -omega[k] * log(omega[k]) - (1 - omega[k]) * log(1 - omega[k]);
    }

    // 寻找最大模糊熵和最小方差
    for (k = 0; k < MAX_GRAY_LEVEL; k++) {
        if (fuzzyEntropy[k] > maxEntropy) {
            maxEntropy = fuzzyEntropy[k];
        }
        if (alpha[k] > 0 && beta[k] > 0 && omega[k] > 0 && omega[k] < 1) {
            double variance = pow(beta[k], 2) / omega[k] + pow(alpha[k] - mu[MAX_GRAY_LEVEL - 1], 2) / (1 - omega[k]);
            if (variance < minVariance) {
                minVariance = variance;
                *threshold = k;
            }
        }
    }
}

int main() {
    unsigned char img[256] = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255};
    double threshold = 0.0;
    fuzzyOtsu(img, 256, 1, &threshold);
    printf("Threshold: %f\n", threshold);
    return 0;
}