#include "opencv2\opencv.hpp"
#include <stdio.h>
#include <opencv2/legacy/legacy.hpp>
#include <opencv2/objdetect/objdetect.hpp>
#include <opencv2/nonfree/nonfree.hpp>
#include <opencv2/nonfree/features2d.hpp>
using namespace std;
using namespace cv;
//
int main( )
{
//source image
char* img1_file = "C:/images/box.png";
char* img2_file = "C:/images/box.png";
// image read
Mat tmp = cv::imread( img1_file, 1 );
Mat in = cv::imread( img2_file, 1 );
/* threshold = 0.04;
edge_threshold = 10.0;
magnification = 3.0; */
// SIFT feature detector and feature extractor
cv::SiftFeatureDetector detector( 0.05, 5.0 );
cv::SiftDescriptorExtractor extractor( 3.0 );
/* In case of SURF, you apply the below two lines
cv::SurfFeatureDetector detector();
cv::SurfDescriptorExtractor extractor();
*/
// Feature detection
std::vector keypoints1, keypoints2;
detector.detect( tmp, keypoints1 );
detector.detect( in, keypoints2 );
// Feature display
Mat feat1,feat2;
drawKeypoints(tmp,keypoints1,feat1,Scalar(255, 255, 255),DrawMatchesFlags::DRAW_RICH_KEYPOINTS);
drawKeypoints(in,keypoints2,feat2,Scalar(255, 255, 255),DrawMatchesFlags::DRAW_RICH_KEYPOINTS);
imwrite( "feat1.bmp", feat1 );
imwrite( "feat2.bmp", feat2 );
int key1 = keypoints1.size();
int key2 = keypoints2.size();
printf("Keypoint1=%d \nKeypoint2=%d", key1, key2);
// Feature descriptor computation
Mat descriptor1,descriptor2;
extractor.compute( tmp, keypoints1, descriptor1 );
extractor.compute( in, keypoints2, descriptor2 );
/*int desc1 = descriptor1.size;
int desc2 = descriptor2.size;
printf("Descriptor1=%d \nDescriptor2=%d", desc1, desc2);*/
// corresponded points
std::vector matches;
// L2 distance based matching. Brute Force Matching
BruteForceMatcher<L2 > matcher;
// Flann-based matching
//FlannBasedMatcher matcher;
// display of corresponding points
matcher.match( descriptor1, descriptor2, matches );
// matching result
Mat result;
drawMatches( tmp, keypoints1, in, keypoints2, matches, result );
// output file
imwrite( "result.bmp", result );
// display the result
namedWindow("SIFT", CV_WINDOW_AUTOSIZE );
imshow("SIFT", result);
waitKey(0); //press any key to quit
return 0;
}
Input image:
Result:
Catatan Fahmi 
Recent Comments