一种改进的Harris特征点匹配算法  

Improved Algorithm of Harris Feature Point Matching

作　　者：张波[1] 王天召[1] 李科[2] 陈金玉[1] 

机构地区：[1]装甲兵工程学院控制工程系,北京100072 [2]西安卫星测控中心厦门测控站,厦门361023

出　　处：《计算机系统应用》2013年第7期100-103,共4页Computer Systems & Applications

摘　　要：针对Harris特征点匹配的精度低和效率不高的问题,提出了基于Harris特征点匹配的改进算法.首先对Harris特征点的提取方法进行了改进,减少了伪特征点的提取.然后利用改进的双向最大归一化相关系数匹配的方法提取初始特征点对,最后用改进的随机采样一致法来剔除伪特征点对,实现特征点对的精确匹配.实验结果表明,该算法不仅提高了特征点匹配的精度,而且极大地提高了特征点匹配的效率.According to the problems of low-precision and less real-time in Harris feature point matching, proposes an improved algorithm of Harris feature point matching. Firstly, Harris feature point extracting algorithm is improved so that it can reduce false feature point extracting. The initial feature point pairs are extracted with the method of improved bidirectional greatest normalized correlative coefficient, and the false feature point pairs are rejected by the improved random sample consensus algorithm to realize precision matching. The results indicate that the improved algorithm not only improve the precision of feature point matching but also improve the eff^ciency of feature point matching greatly.

关 键 词：特征点匹配 HARRIS算法 双向最大归一化相关系数 随机采样一致 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]