Opencv--brisk feature detection, matching and object finding

To detect and draw feature points:

1#include <opencv2/opencv.hpp>2#include <opencv2/xfeatures2d.hpp>3#include <iostream>4 5 using namespaceCV;6 using namespacecv::xfeatures2d;7 using namespacestd;8 9 intMainintargcChar**argv) {TenMat src = imread ("test.jpg", Imread_grayscale); One     if(Src.empty ()) { Aprintf"could not load image...\n"); -         return-1; -     } theNamedwindow ("Input Image", cv_window_autosize); -Imshow ("Input Image", SRC); -  -     //brisk feature point detection +ptr<brisk> detector = brisk::create ();//creates a brisk class object and initializes -Vector<keypoint>keypoints; +Detector->detect (SRC, keypoints, Mat ());//find the key. A  at     //Draw key points - Mat keypoint_img; -Drawkeypoints (SRC, keypoints, keypoint_img, Scalar::all (-1), Drawmatchesflags::D efault); -Imshow ("keypoints Image", keypoint_img); -  -Waitkey (0); in     return 0; -}

The:

1#include <opencv2/opencv.hpp>2#include <iostream>3#include <math.h>4 5 using namespaceCV;6 using namespacestd;7 8 intMainintargcChar**argv) {9Mat IMG1 = Imread ("fire_5.jpg", Imread_grayscale);TenMat Img2 = Imread ("number. jpg", Imread_grayscale); One     if(Img1.empty () | |Img2.empty ()) { Aprintf"could not load images...\n"); -         return-1; -     } theImshow ("Box Image", IMG1); -Imshow ("Scene Image", IMG2); -  -  +     //Extract Akaze features -ptr<brisk> detector =brisk::create (); +Vector<keypoint>keypoints_obj; AVector<keypoint>Keypoints_scene; at Mat descriptor_obj, Descriptor_scene; -Detector->Detectandcompute (IMG1, Mat (), Keypoints_obj, descriptor_obj); -Detector->Detectandcompute (Img2, Mat (), Keypoints_scene, descriptor_scene); -  -  -     //Matching inFlannbasedmatcher Matcher (NewFlann::lshindexparams ( -,Ten,2)); -     //flannbasedmatcher Matcher; to     //flannbasedmatcher Matcher; +Vector<dmatch>matches; - Matcher.match (Descriptor_obj, descriptor_scene, matches); the  *     //draw matches (key points) $ Mat akazematchesimg;Panax Notoginseng     /* - drawmatches (IMG1, Keypoints_obj, Img2, Keypoints_scene, matches, akazematchesimg); the imshow ("Akaze match result", akazematchesimg);*/ +  AVector<dmatch>goodmatches; the     DoubleMindist =100000, maxDist =0; +      for(inti =0; i < descriptor_obj.rows; i++) { -         DoubleDist =matches[i].distance; $         if(Dist <mindist) { $Mindist =Dist; -         } -         if(Dist >maxDist) { theMaxDist =Dist; -         }Wuyi     } theprintf"min Distance:%f", mindist); -  Wu      for(inti =0; i < descriptor_obj.rows; i++) { -         DoubleDist =matches[i].distance; About         if(Dist < Max (1.5*mindist,0.02)) { $ Goodmatches.push_back (Matches[i]); -         } -     } -  ADrawmatches (IMG1, Keypoints_obj, Img2, Keypoints_scene, Goodmatches, Akazematchesimg, Scalar::all (-1), +Scalar::all (-1), vector<Char>(), drawmatchesflags::not_draw_single_points); theImshow ("Good match result", akazematchesimg); -  $Waitkey (0); the     return 0; the}

Opencv--brisk feature detection, matching and object finding