#include "opencv2/imgproc/imgproc.hpp"

 #include "opencv2/highgui/highgui.hpp"

 #include <stdlib.h>

 #include <stdio.h>

 using namespace cv;

 /// 全局变量定义及赋值

 int threshold_value = ;

 int threshold_type = ;;

 int const max_value = ;

 int const max_type = ;

 int const max_BINARY_value = ;

 Mat src, src_gray, dst;

 char* window_name = "Threshold Demo";

 char* trackbar_type = "Type: \n 0: Binary \n 1: Binary Inverted \n 2: Truncate \n 3: To Zero \n 4: To Zero Inverted";

 char* trackbar_value = "Value";

 /// 自定义函数声明

 void Threshold_Demo( int, void* );

 /**

  * @主函数

  */

 int main( int argc, char** argv )

 {

   /// 读取一副图片，不改变图片本身的颜色类型（该读取方式为DOS运行模式）

   src = imread( argv[],  );

   /// 将图片转换成灰度图片

   cvtColor( src, src_gray, CV_RGB2GRAY );

   /// 创建一个窗口显示图片

   namedWindow( window_name, CV_WINDOW_AUTOSIZE );

   /// 创建滑动条来控制阈值

   createTrackbar( trackbar_type,

                   window_name, &threshold_type,

                   max_type, Threshold_Demo );

   createTrackbar( trackbar_value,

                   window_name, &threshold_value,

                   max_value, Threshold_Demo );

   /// 初始化自定义的阈值函数

   Threshold_Demo( ,  );

   /// 等待用户按键。如果是ESC健则退出等待过程。

   while(true)

   {

     int c;

     c = waitKey(  );

     if( (char)c ==  )

       { break; }

    }

 }

 /**

  * @自定义的阈值函数

  */

 void Threshold_Demo( int, void* )

 {

   /* 0: 二进制阈值

      1: 反二进制阈值

      2: 截断阈值

      3: 0阈值

      4: 反0阈值

    */

   threshold( src_gray, dst, threshold_value, max_BINARY_value,threshold_type );

   imshow( window_name, dst );

 }