opencv-基础阈值操作

opecv带有阈值函数threshold。主要完成5种类型的阈值操作。

1.Threshold Binary

蓝线为阈值

2.Threshold Binary, Inverted

3.Truncate

4.Threshold to Zero

5.Threshold to Zero, Inverted

实现代码如下所示：

#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <stdlib.h>
#include <stdio.h>

using namespace cv;

//全局变量

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";
//函数声明
void Threshold_Demo( int, void* );

int main( int argc, char** argv )
{
  //加载彩色图像
  src = imread( argv[1], 1 );

  //将彩色图像转变为灰度图
  cvtColor( src, src_gray, CV_RGB2GRAY );

  //创建用于显示结果的窗口
  namedWindow( window_name, CV_WINDOW_AUTOSIZE );

  //创建两个跟踪条分别用于选择阈值处理类型和阈值大小
  createTrackbar( trackbar_type,
          window_name, &threshold_type,
          max_type, Threshold_Demo );

  createTrackbar( trackbar_value,
          window_name, &threshold_value,
          max_value, Threshold_Demo );

  //调用函数进行初始化
  Threshold_Demo( 0, 0 );

  //等待用户按键‘ESC'结束程序
  while(true)
    {
      int c;
      c = waitKey( 20 );
      if( (char)c == 27 )
    { break; }
    }

}

//初始化程序
void Threshold_Demo( int, void* )
{
  /* 0: Binary
     1: Binary Inverted
     2: Threshold Truncated
     3: Threshold to Zero
     4: Threshold to Zero Inverted
   */

  threshold( src_gray, dst, threshold_value, max_BINARY_value,threshold_type );
  //显示处理结果
  imshow( window_name, dst );
}

实验结果：

配置如图所示，同时给出了原始图像。

阈值为100,5种阈值处理类型的结果如下图所示。