源码
#include <opencv2/opencv.hpp>
#include <opencv2/xfeatures2d.hpp>
#include<iostream>
#include<math.h>
#include <string>
#include<fstream>
using namespace cv;
using namespace std;
using namespace cv::xfeatures2d;
Mat src, graysrc;
int minHesssian = 100;
int maxhessian = 500;
void Surf(int, void*) {
// Ptr<SIFT> detector = SIFT::create(minHesssian); //SIFT算法
//Ptr<KAZE> detector = KAZE::create(minHesssian);
//Ptr<VGG> detector = VGG_120::create(minHesssian); //ORB算法
//Ptr<ORB> detector = ORB::create(minHesssian); //ORB算法
Ptr<SURF> detector = SURF::create(minHesssian);// SURF特征检测类，Ptr 智能指针
vector<KeyPoint>keypoint;//特征点
detector->detect(src,keypoint);//特征检测
cout << "keypoint_size=" << keypoint.size() << endl;
Mat dst;
drawKeypoints(src, keypoint, dst, Scalar::all(-1), DrawMatchesFlags::DEFAULT);
cv::imwrite("out.jpg", dst);
imshow("output", dst);
}
int main() {
src = imread("/home/ledi/视频/lena.png");
imshow("input", src);
//cvtColor(src, graysrc, CV_BGR2GRAY);
Surf(0, 0);
createTrackbar("yuzhi", "output", &minHesssian, maxhessian, Surf);
waitKey(0);
}
cmakelists
project( camer )
find_package( OpenCV REQUIRED )
include_directories( ${OpenCV_INCLUDE_DIRS} )
add_executable( camer main.cpp )
target_link_libraries( camer ${OpenCV_LIBS} )
