Qt+OpenCV2.4.4实现Harris角点检测(Mat结构实现)

#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 src, src_gray;//源图和灰度图 int thresh = 200;//默认阈值 int max_thresh = 255;//滑块条最大值 void cornerHarris_demo( int, void* ) { Mat dst, dst_norm, dst_norm_scaled; dst = Mat::zeros( src.size(), CV_32FC1 ); //参数 int blockSize = 2; int apertureSize = 3; double k = 0.04; //Harris角点检测 cornerHarris( src_gray, dst, blockSize, apertureSize, k, BORDER_DEFAULT ); //像素归一化到[0,255] normalize( dst, dst_norm, 0, 255, NORM_MINMAX, CV_32FC1, Mat() ); convertScaleAbs( dst_norm, dst_norm_scaled );//去绝对值后变换为8位无符号类型 Mat src_copy = src.clone(); //在角点上画圈 for( int j = 0; j < dst_norm.rows ; j++ ) { for( int i = 0; i < dst_norm.cols; i++ ) { if( (int) dst_norm.at<float>(j,i) > thresh ) { circle(dst_norm_scaled,Point(i,j),3,Scalar(0)); circle(src_copy,Point(i,j),3,Scalar(0,255,0)); } } } /// Showing the result namedWindow( "Corners", CV_WINDOW_AUTOSIZE ); imshow( "Corners", dst_norm_scaled ); imshow( "Src", src_copy ); } int main() { //加载源图像并转换为灰度图 src = imread("horse.jpg"); cvtColor( src, src_gray, CV_BGR2GRAY ); //显示源图 namedWindow( "Src", CV_WINDOW_AUTOSIZE ); imshow( "Src", src ); //创建滑块条，并指定回调函数为cornerHarris_demo()，每次滑块位置改变时都会调用此函数 createTrackbar( "阈值：", "Src", &thresh, max_thresh, cornerHarris_demo ); //调用函数，计算角点 cornerHarris_demo( 0, 0 ); waitKey(0); return(0); }