| 基于改进SIFT算法的图像匹配方法研究 |
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| 引用本文： | 夏杰,李奇安,李悦,单海欧.基于改进SIFT算法的图像匹配方法研究[J].电子设计工程,2012,20(14):157-159. |
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| 作者姓名： | 夏杰 李奇安 李悦 单海欧 |
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| 作者单位： | 辽宁石油化工大学信息与控制工程学院,辽宁抚顺,113001 |
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| 摘 要： | SIFT算法具有旋转、平移、尺度缩放和亮度的变化保持不变性的优点,也有算法复杂、计算时间长的缺点。本文提出了以街区距离代替欧式距离的新方法,来提高SIFT特征匹配效率,缩短匹配时间,提高SIFT算法的实时性。实验结果表明,该方法在保持图像匹配率和算法鲁棒性的同时,可以减少运算时间。
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| 关 键 词： | SIFT特征匹配 特征向量 街区距离 欧式距离 图像匹配 |
Research for image matching based on improved SIFT algorithm |
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| XIA Jie,LI Qi-an,LI Yue,SHAN Hai-ou.Research for image matching based on improved SIFT algorithm[J].Electronic Design Engineering,2012,20(14):157-159. |
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| Authors: | XIA Jie LI Qi-an LI Yue SHAN Hai-ou |
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| Affiliation: | (School of Information and Control Engineering,Liaoning Shihua University,Fushun 113001,China) |
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| Abstract: | The SIFT algorithm maintains the advantages of invariability in revolving,transformation,scale,and brightness,but it is complex,and the computing time is very long.This paper presents a new method using City block distance instead of Euclidean distance to shorten the time of matching to improve the SIFT efficiency of matching.The experimental results show that,this method can reduce the processing time while maintaining the rate of image matching and the algorithm robustness. |
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| Keywords: | SIFT feature matching feature vectors city block distance euclidean distance image matching |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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