Opencv-Feature Detection

Source: Internet
Author: User
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Use the opencv functions surffeaturedetector and detect to detect interest points;

Use the opencv function drawkeypoints to draw the detection key points.

/** * @file SURF_detector * @brief SURF keypoint detection + keypoint drawing with OpenCV functions * @author A. Huaman */#include <stdio.h>#include <iostream>#include "opencv2/core/core.hpp"#include "opencv2/features2d/features2d.hpp"#include "opencv2/highgui/highgui.hpp"#include "opencv2/nonfree/features2d.hpp"using namespace cv;void readme();/** * @function main * @brief Main function */int main( int argc, char** argv ){  if( argc != 3 )  { readme(); return -1; }  Mat img_1 = imread( argv[1], CV_LOAD_IMAGE_GRAYSCALE );  Mat img_2 = imread( argv[2], CV_LOAD_IMAGE_GRAYSCALE );  if( !img_1.data || !img_2.data )  { std::cout<< " --(!) Error reading images " << std::endl; return -1; }  //-- Step 1: Detect the keypoints using SURF Detector  int minHessian = 400;  SurfFeatureDetector detector( minHessian );  std::vector<KeyPoint> keypoints_1, keypoints_2;  detector.detect( img_1, keypoints_1 );  detector.detect( img_2, keypoints_2 );  //-- Draw keypoints  Mat img_keypoints_1; Mat img_keypoints_2;  drawKeypoints( img_1, keypoints_1, img_keypoints_1, Scalar::all(-1), DrawMatchesFlags::DEFAULT );  drawKeypoints( img_2, keypoints_2, img_keypoints_2, Scalar::all(-1), DrawMatchesFlags::DEFAULT );  //-- Show detected (drawn) keypoints  imshow("Keypoints 1", img_keypoints_1 );  imshow("Keypoints 2", img_keypoints_2 );  waitKey(0);  return 0;}/** * @function readme */void readme(){ std::cout << " Usage: ./SURF_detector  

 

 

 

 

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