基于SIFT的图像匹配算法

doi:10.3969/j.issn.1006-2475.2014.07.014

计算机与现代化 ›› 2014, Vol. 0 ›› Issue (7): 63-67.doi: 10.3969/j.issn.1006-2475.2014.07.014

基于SIFT的图像匹配算法

(曲靖师范学院计算机科学与工程学院，云南曲靖 655011)

收稿日期:2014-06-16 出版日期:2014-07-16 发布日期:2014-07-17
作者简介:周丽芬(1980-),女,云南宣威人,曲靖师范学院计算机科学与工程学院讲师,硕士,研究方向：数字图像处理，模式识别。
基金资助:
云南省教育厅科学研究基金资助项目（2013C01）

Image Matching Algorithm Based on SIFT

(College of Computer Science and Engineering, Qujing Normal University, Qujing 655011, China)

Received:2014-06-16 Online:2014-07-16 Published:2014-07-17

摘要/Abstract

摘要： 直接用SIFT算法对较模糊图像进行关键点提取时，提取的关键点个数较少且进行下一步匹配时错误匹配较多。提出一种基于SIFT特征的匹配算法，首先利用拉普拉斯算子对图像进行锐化处理，使其边缘得到突出，然后利用SIFT算法进行关键点提取，最后利用双向匹配算法进行图像匹配。实验结果表明，利用本文算法进行匹配比直接用SIFT算法进行匹配时的匹配点数更多，匹配效果更好。

关键词: SIFT算法, 拉普拉斯算子, 图像锐化, 双向匹配算法

Abstract: Key points are very few when extracted by the SIFT algorithm directly and mismatch points are much more during the image matching of the next step from blur image. We propose a matching algorithm based on SIFT feature. Firstly, we use the Laplacian operator to sharpen the blurred image in order to highlight the edge, and then extract the key points by the SIFT algorithm. Lastly, we use the bidirectional matching algorithm to match image. The experimental results show that the number of matched points by the improved algorithm has more points than the way of using SIFT algorithm directly and the results of matching are better.

Key words: SIFT algorithm, Laplacian operator, image sharpening, bidirectional matching algorithm

中图分类号:

TP391

周丽芬. 基于SIFT的图像匹配算法[J]. 计算机与现代化, 2014, 0(7): 63-67.

ZHOU Li-fen. Image Matching Algorithm Based on SIFT[J]. Computer and Modernization, 2014, 0(7): 63-67.

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基于SIFT的图像匹配算法

Image Matching Algorithm Based on SIFT

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