标签：des c style class blog code
主要使用的类：FeatureDetector FeatureExtractor FeatureMatcher#include <opencv2/core/core.hpp>
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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> |
需要注意的地方：
如果完全按老版本的opencv的写法会出现下图中Access violation的异常，解决方法如下：
1.在新版本的opencv中，像SIFT，SURF等专利方法放在了单独的模块中，使用前需
a) include <opencv2/nonfree/nonfree.hpp>
b) 使用前添加语句 cv::initModule_nonfree()
c) 在链接库中添加 opencv_nonfree2.4.9.lib,一般在配置opencv时已经添加
2.FeatureDetector 等是三个抽象基类，不能直接实例化，也不能直接使用 *，必须用Ptr<>的方式来使用
Ptr<FeatureDetector> sift_detector = FeatureDetector::create("SIFT");
运行结果如下：
使用Opencv2.4.9进行SIFT特征点提取和匹配,布布扣,bubuko.com
标签：des c style class blog code
原文地址：http://www.cnblogs.com/codyzh/p/3770198.html
