Balanced Histogram Thresholding (BHT)是一种用于图像处理的算法，主要用于图像分割和特征提取。在C语言中实现BHT的代码如下：

```c
#include
#include
#include

typedef struct {
int width; // 图像宽度
int height; // 图像高度
int num_bins; // 直方图的bin数
} Histogram;

// 计算直方图
void calculate_histogram(Histogram hist, int width, int height, int num_bins) {
for (int i = 0; i data[i][k];
}
}
hist->data[i] = sum / (width height);
}
}

// 阈值化处理
void thresholding(Histogram hist, float bin_thresh) {
for (int i = 0; i data[i][j] > bin_thresh) {
sum += hist->data[i][j];
}
}
hist->data[i] = sum / (height width);
}
}

// BHT处理
void bht(Histogram hist, float bin_thresh) {
calculate_histogram(hist, width, height, num_bins);
thresholding(hist, bin_thresh);
}

int main() {
// 初始化图像参数
int width = 1280; // 图像宽度
int height = 720; // 图像高度
int num_bins = 256; // 直方图的bin数

// 创建直方图结构体
Histogram hist;
hist.width = width;
hist.height = height;
hist.num_bins = num_bins;
hist.data = (float )malloc((num_bins height + 1) sizeof(float));

// 计算直方图
calculate_histogram(&hist, width, height, num_bins);

// 阈值化处理
bht(&hist, 100); // 设置阈值为100

// 输出结果
for (int i = 0; i