具有良好重复率与信息量的立体影像点特征提取方法  

An Interest Point Detect Method to Stereo Images with Good Repeatability and Information Content

作　　者：朱庆[1] 吴波[1] 万能[1] 徐志祥[1] 田一翔[1] 

机构地区：[1]武汉大学测绘遥感信息工程国家重点实验室,湖北武汉430079

出　　处：《电子学报》2006年第2期205-209,共5页Acta Electronica Sinica

基　　金：国家973项目(No.2002CB312101);湖北省青年杰出人才基金(No.2004ABB018)

摘　　要：针对立体影像匹配问题,从重复率与信息量两个方面对现有几种主要的立体影像点特征提取算子进行了实验分析比较;根据影像的信息熵对影像特征进行聚类分析,提出了一种与影像特征相关的、基于Harris算子原理改进的点特征提取方法;选取不同特征的实际立体影像进行实验分析,证明本文提出的方法具有更优的重复率与信息量.For the purpose of stereo image matching, several common stereo image interest point detectors are reviewed in the two aspects of repeatability and information content through experimental analysis in this paper. Based on the image information entropy, clustering is utilized to analyse the texture feafures of images, and a new interest point detect method is then proposed. The most significant characteristic of this method, which improves the Harris detector, is self-adaptive to the image texture. The experiments by using of actual stereo images with different texture features proved that this method guarantees more better repeatability and information content.

关 键 词：点特征提取 重复率 信息量 信息熵 特征聚类 

分 类 号：TN919[电子电信—通信与信息系统]