| 基于局部特征图像匹配算法改进 |
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| 引用本文： | 郭秀娟,杨磊.基于局部特征图像匹配算法改进[J].吉林建筑工程学院学报,2011,28(3):79-82. |
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| 作者姓名： | 郭秀娟 杨磊 |
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| 作者单位： | 1. 吉林建筑工程学院计算机科学与工程学院,长春,130118
2. 吉林建筑工程学院电气与电子信息学院,长春,130118 |
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| 基金项目： | 建设部软科学研究项目(2010-K9-43)；吉林省教育厅“十一五”科学技术研究项目 |
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| 摘 要： | 本文针对SIFT算法存在着特征提取及匹配速度慢,在灰度变化相似的区域产生误匹配的缺陷,讨论了SIFT 的改进算法-SURF算法的原理及应用方法,对算法进行检验,指出SURF算法在提取特征点时更偏重于提取鲁棒性较强的点,同时,摒弃一些鲁棒性较弱的点,对鲁棒性强的特征进行匹配以减少计算时间,使SURF在实时性处理和大量图片...
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| 关 键 词： | SIFT算法 SURF算法 特征点 鲁棒性 |
A New Image Matching Algorithm Based on Improved Local Feature |
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| GUO Xiu-juan,YANG Lei.A New Image Matching Algorithm Based on Improved Local Feature[J].Journal of Jilin Architectural and Civil Engineering,2011,28(3):79-82. |
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| Authors: | GUO Xiu-juan YANG Lei |
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| Affiliation: | 1：School of Computer Science and Engineering,Jilin Institute of Architecture and Civil Engineering,Changchun,China 130118; 2：School of Electrical and Electronic Intormation Engineering,Jilin Institute of Architecture and Civil Engineering,Changchun,China 130118) |
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| Abstract: | Aiming at the slowly match of feature extraction,similar mismatch defects in the gray area,the paper discussed the theory and application of the improved algorithm SURF,which is derived from SIFT.On testing the algorithm,we find out that SURF would more robust emphasis on a strong point while extracting.And what is more,the algorithm rejected a number of the points of weak robustness,which will reduce the computing time while matching the robust features.So SURF will have more prospects on real-time processing and the mass image search. |
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| Keywords: | SIFT algorithm SURF algorithm feature points robustness |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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