使用Opencv2.4.9进行SIFT特征点提取和匹配

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<em id="__mceDel">#include <opencv2/highgui/highgui.hpp> 

#include <opencv2/features2d/features2d.hpp>

#include <opencv2/nonfree/nonfree.hpp>

#include <iostream>

using
namespace cv;

using
namespace std;

int main(){

    cv::initModule_nonfree();

    Mat img1_mat = imread("1.bmp",CV_LOAD_IMAGE_GRAYSCALE);

    Mat img2_mat = imread("2.bmp",CV_LOAD_IMAGE_GRAYSCALE);

    std::vector<KeyPoint> img1_keypoint,img2_keypoint;<br>

        /*特征点检测*/

//  FeatureDetector *sift_detector = FeatureDetector::create("SIFT");

    Ptr<FeatureDetector> sift_detector = FeatureDetector::create("SIFT");

    sift_detector->detect(img1_mat,img1_keypoint);

    sift_detector->detect(img2_mat,img2_keypoint);<br>

    /*在图片上显示特征点*/

    Mat img_kp_1,img_kp_2;

    drawKeypoints(img1_mat,img1_keypoint,img_kp_1,Scalar::all(-1),DrawMatchesFlags::DEFAULT);

    drawKeypoints(img2_mat,img2_keypoint,img_kp_2,Scalar::all(-1),DrawMatchesFlags::DEFAULT);

    imshow("sift_keypoint_image 1",img_kp_1);

    imshow("sift_keypoint_image 2",img_kp_2);<br>

        /*特征向量提取*/

    Mat img1_descriptor,img2_descriptor;

    Ptr<DescriptorExtractor> sift_descriptor_extractor = DescriptorExtractor::create("SIFT");

    sift_descriptor_extractor->compute(img1_mat,img1_keypoint,img1_descriptor);

    sift_descriptor_extractor->compute(img2_mat,img2_keypoint,img2_descriptor);

        /*特征点匹配*/

    std::vector<DMatch> img_match;

    Ptr<DescriptorMatcher> bruteforce_matcher = DescriptorMatcher::create("BruteForce");

    bruteforce_matcher->match(img1_descriptor,img2_descriptor,img_match);

        /*在图片上显示匹配结果*/

    Mat match_img;

    drawMatches(img1_mat,img1_keypoint,img2_mat,img2_keypoint,accurate_match,match_img);

    imshow("match image",match_img);

    waitKey(0);

    system("pause");

    return
0;

}

</em>