| 基于SIFT的图像匹配算法 |
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| 引用本文： | 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. DOI: 10.3969/j.issn.1006-2475.2014.07.014 |
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| 作者姓名： | 周丽芬 |
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| 作者单位： | 曲靖师范学院计算机科学与工程学院,云南曲靖655011 |
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| 基金项目： | 云南省教育厅科学研究基金资助项目（2013C01） |
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| 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。
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| 关 键 词： | SIFT算法 拉普拉斯算子 图像锐化 双向匹配算法 |
| 收稿时间： | 2014-07-17 |
Image Matching Algorithm Based on SIFT |
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| ZHOU Li-fen. Image Matching Algorithm Based on SIFT[J]. Computer and Modernization, 2014, 0(7): 63-67. DOI: 10.3969/j.issn.1006-2475.2014.07.014 |
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| Authors: | ZHOU Li-fen |
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| Affiliation: | ZHOU Li-fen (College of Computer Science and Engineering, Qujing Normal University, Qujing 655011, China) |
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| 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 algo-rithm.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 matc -hing are better . |
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| Keywords: | SIFT algorithm Laplacian operator image sharpening bidirectional matching algorithm |
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