检测实现OpenCV2.4.4实现Shi-Tomasi角点检测(goodFeaturesToTrack)
最近研究检测实现,稍微总结一下,以后继续补充:
#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;//是不是使用Harris double k = 0.04; //拷贝原图 Mat src1_copy = src1.clone(); Mat src2_copy = src2.clone(); //调用函数停止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); } //表现图像 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 ); //创立窗口 namedWindow( source_window1, CV_WINDOW_AUTOSIZE ); namedWindow( source_window2, CV_WINDOW_AUTOSIZE ); //创立滑块条,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); }
效果图:
文章结束给大家分享下程序员的一些笑话语录:
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