OpenCV 基本的阈值操作

 

#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 = 0;
int threshold_type = 3;;
int const max_value = 255;
int const max_type = 4;
int const max_BINARY_value = 255;

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[1], 1 );

  /// 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( 0, 0 );

  /// 等待用户按键。如果是ESC健则退出等待过程。
  while(true)
  {
    int c;
    c = waitKey( 20 );
    if( (char)c == 27 )
      { 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 );
}