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SIFT特征提取-应用篇

發布時間：2025/3/21 编程问答 21 豆豆

生活随笔收集整理的這篇文章主要介紹了 SIFT特征提取-应用篇小編覺得挺不錯的,現在分享給大家,幫大家做個參考.

SIFT特征具有縮放、旋轉特征不變性，下載了大牛的matlab版SIFT特征提取代碼，解釋如下：

1.調用方法：

將文件加入matlab目錄后，在主程序中有兩種操作：

op1：尋找圖像中的Sift特征：

[csharp]?view plaincopy

[image,?descrips,?locs]?=?sift('scene.pgm');???

showkeys(image,?locs);??

op2：對兩幅圖中的SIFT特征進行匹配：

[csharp]?view plaincopy

match('scene.pgm','book.pgm');??

由于scene和book兩圖中有相同的一本書，但orientation和size都不同，可以發現所得結果中Sift特征檢測結果非常好。

2.代碼下載地址：

<a target=_blank target="_blank" href="http://www.cs.ubc.ca/~lowe/keypoints/" style="color: rgb(19, 61, 182); text-decoration: none; vertical-align: baseline;">http://www.cs.ubc.ca/~lowe/keypoints/</a> 3.想用自己的圖片進行調用： <div class="dp-highlighter bg_csharp" style="font-family: Consolas, 'Courier New', Courier, mono, serif; font-size: 12px; width: 878.5625px; overflow: auto; padding-top: 1px; margin: 18px 0px !important; background-color: rgb(231, 229, 220);"><div class="bar" style="padding-left: 45px;"><div class="tools" style="padding: 3px 8px 10px 10px; font-stretch: normal; font-size: 9px; line-height: normal; font-family: Verdana, Geneva, Arial, Helvetica, sans-serif; color: silver; border-left-width: 3px; border-left-style: solid; border-left-color: rgb(108, 226, 108); background-color: rgb(248, 248, 248);">[csharp] <a target=_blank href="http://blog.csdn.net/abcjennifer/article/details/7365882#" class="ViewSource" title="view plain" style="color: rgb(160, 160, 160); text-decoration: none; border: none; padding: 1px; margin: 0px 10px 0px 0px; font-size: 9px; display: inline-block; width: 16px; height: 16px; text-indent: -2000px; background-image: url(http://static.blog.csdn.net/scripts/SyntaxHighlighter/styles/images/default/ico_plain.gif); background-attachment: initial; background-color: inherit; background-size: initial; background-origin: initial; background-clip: initial; background-position: 0% 0%; background-repeat: no-repeat;">view plain</a><a target=_blank href="http://blog.csdn.net/abcjennifer/article/details/7365882#" class="CopyToClipboard" title="copy" style="color: rgb(160, 160, 160); text-decoration: none; border: none; padding: 1px; margin: 0px 10px 0px 0px; font-size: 9px; display: inline-block; width: 16px; height: 16px; text-indent: -2000px; background-image: url(http://static.blog.csdn.net/scripts/SyntaxHighlighter/styles/images/default/ico_copy.gif); background-attachment: initial; background-color: inherit; background-size: initial; background-origin: initial; background-clip: initial; background-position: 0% 0%; background-repeat: no-repeat;">copy</a><a target=_blank href="https://code.csdn.net/snippets/135681" target="_blank" title="在CODE上查看代碼片" style="color: rgb(160, 160, 160); text-decoration: none; border: none; padding: 1px; margin: 0px 10px 0px 0px; font-size: 9px; display: inline-block; width: 16px; height: 16px; background-image: none; background-attachment: initial; background-color: inherit; background-size: initial; background-origin: initial; background-clip: initial; background-position: 0% 0%; background-repeat: no-repeat;"><img src="https://code.csdn.net/assets/CODE_ico.png" width="12" height="12" alt="在CODE上查看代碼片" style="border: none; max-width: 100%; position: relative; top: 1px; left: 2px;" /></a><a target=_blank href="https://code.csdn.net/snippets/135681/fork" target="_blank" title="派生到我的代碼片" style="color: rgb(160, 160, 160); text-decoration: none; border: none; padding: 1px; margin: 0px 10px 0px 0px; font-size: 9px; display: inline-block; width: 16px; height: 16px; background-image: none; background-attachment: initial; background-color: inherit; background-size: initial; background-origin: initial; background-clip: initial; background-position: 0% 0%; background-repeat: no-repeat;"><img src="https://code.csdn.net/assets/ico_fork.svg" width="12" height="12" alt="派生到我的代碼片" style="border: none; max-width: 100%; position: relative; top: 2px; left: 2px;" /></a><div style="position: absolute; left: 405px; top: 1050px; width: 18px; height: 18px; z-index: 99;"></div></div></div><ol start="1" class="dp-c" style="padding: 0px; border: none; color: rgb(92, 92, 92); margin: 0px 0px 1px 45px !important; background-color: rgb(255, 255, 255);"><li class="alt" style="border-style: none none none solid; border-left-width: 3px; border-left-color: rgb(108, 226, 108); list-style: decimal-leading-zero outside; color: inherit; line-height: 18px; margin: 0px !important; padding: 0px 3px 0px 10px !important;">i1=imread('D:\Images\New\Cars\image_0001.jpg');??</li><li style="border-style: none none none solid; border-left-width: 3px; border-left-color: rgb(108, 226, 108); list-style: decimal-leading-zero outside; line-height: 18px; margin: 0px !important; padding: 0px 3px 0px 10px !important; background-color: rgb(248, 248, 248);">i2=imread('D:\Images\New\Cars\image_0076.jpg');??</li><li class="alt" style="border-style: none none none solid; border-left-width: 3px; border-left-color: rgb(108, 226, 108); list-style: decimal-leading-zero outside; color: inherit; line-height: 18px; margin: 0px !important; padding: 0px 3px 0px 10px !important;">i11=rgb2gray(i1);??</li><li style="border-style: none none none solid; border-left-width: 3px; border-left-color: rgb(108, 226, 108); list-style: decimal-leading-zero outside; line-height: 18px; margin: 0px !important; padding: 0px 3px 0px 10px !important; background-color: rgb(248, 248, 248);">i22=rgb2gray(i2);??</li><li class="alt" style="border-style: none none none solid; border-left-width: 3px; border-left-color: rgb(108, 226, 108); list-style: decimal-leading-zero outside; color: inherit; line-height: 18px; margin: 0px !important; padding: 0px 3px 0px 10px !important;">imwrite(i11,'v1.jpg','quality',80);??</li><li style="border-style: none none none solid; border-left-width: 3px; border-left-color: rgb(108, 226, 108); list-style: decimal-leading-zero outside; line-height: 18px; margin: 0px !important; padding: 0px 3px 0px 10px !important; background-color: rgb(248, 248, 248);">imwrite(i22,'v2.jpg','quality',80);??</li><li class="alt" style="border-style: none none none solid; border-left-width: 3px; border-left-color: rgb(108, 226, 108); list-style: decimal-leading-zero outside; color: inherit; line-height: 18px; margin: 0px !important; padding: 0px 3px 0px 10px !important;">match('v1.jpg','v2.jpg');??</li></ol></div> experiment results: <img src="http://hi.csdn.net/attachment/201203/18/0_1332039524thQs.gif" alt="" style="border: none; max-width: 100%;" /> scene

book

compare result

EXP2:

C代碼：

[cpp]?view plaincopy

//?FeatureDetector.cpp?:?Defines?the?entry?point?for?the?console?application.??

//??

#include?"stdafx.h"??

#include?"highgui.h"??

#include?"cv.h"??

#include?"vector"??

#include?"opencv\cxcore.hpp"??

#include?"iostream"??

#include?"opencv.hpp"??

#include?"nonfree.hpp"??

#include?"showhelper.h"??

using?namespace?cv;??

using?namespace?std;??

int?_tmain(int?argc,?_TCHAR*?argv[])??

{??

????//Load?Image???

????Mat?c_src1?=??imread(?"..\\Images\\3.jpg");??

????Mat?c_src2?=?imread("..\\Images\\4.jpg");??

????Mat?src1?=?imread(?"..\\Images\\3.jpg",?CV_LOAD_IMAGE_GRAYSCALE);??

????Mat?src2?=?imread(?"..\\Images\\4.jpg",?CV_LOAD_IMAGE_GRAYSCALE);??

????if(?!src1.data?||?!src2.data?)??

????{?std::cout<<?"?--(!)?Error?reading?images?"?<<?std::endl;?return?-1;?}??

????//sift?feature?detect??

????SiftFeatureDetector?detector;??

????std::vector<KeyPoint>?kp1,?kp2;??

????detector.detect(?src1,?kp1?);??

????detector.detect(?src2,?kp2?);??

????SiftDescriptorExtractor?extractor;??

????Mat?des1,des2;//descriptor??

????extractor.compute(src1,kp1,des1);??

????extractor.compute(src2,kp2,des2);?????

????Mat?res1,res2;???

????int?drawmode?=?DrawMatchesFlags::DRAW_RICH_KEYPOINTS;??

????drawKeypoints(c_src1,kp1,res1,Scalar::all(-1),drawmode);//在內存中畫出特征點??

????drawKeypoints(c_src2,kp2,res2,Scalar::all(-1),drawmode);??

????cout<<"size?of?description?of?Img1:?"<<kp1.size()<<endl;??

????cout<<"size?of?description?of?Img2:?"<<kp2.size()<<endl;??

????BFMatcher?matcher(NORM_L2);??

????vector<DMatch>?matches;??

????matcher.match(des1,des2,matches);??

????Mat?img_match;??

????drawMatches(src1,kp1,src2,kp2,matches,img_match);//,Scalar::all(-1),Scalar::all(-1),vector<char>(),drawmode);??

????cout<<"number?of?matched?points:?"<<matches.size()<<endl;??

????imshow("matches",img_match);??

????cvWaitKey();??

????cvDestroyAllWindows();??

????return?0;??

}??

Python代碼：

http://blog.csdn.net/abcjennifer/article/details/7639681

關于sift的其他講解:

http://blog.csdn.net/abcjennifer/article/details/7639681

http://blog.csdn.net/abcjennifer/article/details/7372880

http://blog.csdn.net/abcjennifer/article/details/7365882

from:?http://blog.csdn.net/abcjennifer/article/details/7365882

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