| 复杂图像特征点提取与匹配方法 |
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| 引用本文： | 王培珍,陈平,周芳,王雪峰.复杂图像特征点提取与匹配方法[J].安徽工业大学学报,2012(1):73-77. |
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| 作者姓名： | 王培珍 陈平 周芳 王雪峰 |
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| 作者单位： | 安徽工业大学电气信息学院;中国林业科学研究院资源信息所 |
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| 基金项目： | 国家自然科学基金项目(50874001,51007002);863项目(2006AA10Z247) |
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| 摘 要： | 采用改进的SIFT（Scale Invariant Feature Transform）算法对自然环境下获取的复杂场景图像进行特征量提取；通过添加存入最小优先级队列的限制条件，对现有的BBF（Best Bin First）匹算法进行改进以提高算法的搜索效率；针对复杂图像误匹配较为严重的现象，设置匹配判定准则和几何约束条件，对匹配结果中可能的误匹配加以剔除。实验结果表明，新方法在匹配效率和匹配准确率的提高上效果明显。
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| 关 键 词： | SIFT算法 特征提取 BBF 匹配 |
Method of Feature Extraction and Matching for Complex Image |
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| WANG Pei-zhen,CHEN Ping,ZHOU Fang,WANG Xue-feng.Method of Feature Extraction and Matching for Complex Image[J].Journal of Anhui University of Technology,2012(1):73-77. |
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| Authors: | WANG Pei-zhen CHEN Ping ZHOU Fang WANG Xue-feng |
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| Affiliation: | 1.School of Electrical Engineering & Information,Anhui University of Technology,Ma’anshan 243002,China; 2.Research Institute of Forestry Resource Information Technique,Chinese Academy of Forestry,Beijing 100091,China) |
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| Abstract: | An improved SIFT(scale invariant feature transform) algorithm is employed to extract features of images obtained under nature environment.With a constraint of logging minimum priority queue,BBF(best bin first) algorithm is modified to improve the search efficiency.In view of the fact that there are mistake matched points in complex image feature matching,matching judgment and geometrical constraint between feature points are set,some error matched feature points from modified BBF are eliminated.Experimental results show that,with the proposed method,the efficiency and accuracy of feature extraction and matching are greatly improved. |
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| Keywords: | SIFT algorithm feature extraction BBF matching |
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