OpenCV2.4.4实现Shi-Tomasi角点检测(goodFeaturesToTrack)

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

using namespace cv;
using namespace std;

//全局变量
Mat src1, src1_gray,
src2, src2_gray;

int maxCorners = 23;
int maxTrackbar = 100;

char* source_window1 = "src1";
char* source_window2 = "src2";

void goodFeaturesToTrack_Demo( int, void* )
{
//参数初始化
if(maxCorners < 1)//允许返回的最多角点个数
maxCorners = 1;
vector<Point2f> corners1,corners2;//角点容器
double qualityLevel = 0.01;//最小特征值小于qualityLevel*最大特征值的点将被忽略
double minDistance = 10;//两角点间最小距离
int blockSize = 3;//邻域尺寸
bool useHarrisDetector = false;//是否使用Harris
double k = 0.04;

//拷贝原图
Mat src1_copy = src1.clone();
Mat src2_copy = src2.clone();

//调用函数进行Shi-Tomasi角点检测
goodFeaturesToTrack( src1_gray,
corners1,
maxCorners,
qualityLevel,
minDistance,
Mat(),
blockSize,
useHarrisDetector,
k );
goodFeaturesToTrack( src2_gray,
corners2,
maxCorners,
qualityLevel,
minDistance,
Mat(),
blockSize,
useHarrisDetector,
k );

//画出角点
cout<<"角点个数："<<corners1.size()<<endl;//等于maxCorners
for( int i = 0; i < corners1.size(); i++ )
{
circle( src1_copy, corners1[i], 4, Scalar(0,255,0),2);
circle( src2_copy, corners2[i], 4, Scalar(0,255,0),2);
}

//显示图像
imshow( source_window1, src1_copy );
imshow( source_window2, src2_copy );
}

int main()
{
//加载源图并转换为灰度图
src1 = imread("horse1.jpg");
src2 = imread("horse2.jpg");
cvtColor( src1, src1_gray, CV_BGR2GRAY );
cvtColor( src2, src2_gray, CV_BGR2GRAY );

//创建窗口
namedWindow( source_window1, CV_WINDOW_AUTOSIZE );
namedWindow( source_window2, CV_WINDOW_AUTOSIZE );

//创建滑块条，调节允许的角点个数
createTrackbar( "角点个数:", source_window1, &maxCorners, maxTrackbar, goodFeaturesToTrack_Demo );

goodFeaturesToTrack_Demo( 0, 0 );

waitKey(0);
return(0);
}