基于ICM的局部不变特征提取方法  

A Novel Method based on ICM for Local Invariant Feature Extraction

作　　者：江友谊[1] 余瑞星[1] 宋军艳[1] 

机构地区：[1]西北工业大学航天学院,陕西西安710072

出　　处：《红外技术》2012年第3期177-180,共4页Infrared Technology

基　　金：国家自然科学基金(61101191);航空基金(20100153001);西北工业大学基础研究基金;陕西省自然科学基金(2011JQ8016)

摘　　要：提出了一种新的基于交叉皮层模型(intersecting cortical model,ICM)的局部不变特征提取方法。首先将k-means聚类后的Harris角点作为关键点,接着以关键点为中心构造特征区域,最后采用ICM图标信号对特征区域进行描述作为局部不变特征。实验结果表明:该方法所获取的局部不变特征具有很好的可重复性,并且当目标处于复杂背景以及遮挡条件下具有较好的识别性能。This paper presents a novel method based on ICM （intersecting cortical model） for local invariant feature extraction. Firstly, the key points were extraceted by Harris operator and they were clustered by k-means algorithm. And the clustered points were called as key points. Then, the key points were used as center to extract their feature regions. Lastly, the ICM values of these feature regions are calculated as local invariant features. Finally, the experimental results showed that our method has good performance in stability to the repeatability and good recognition performance in the condition of complex background and partially occluded.

关 键 词：局部不变特征 交叉皮层模型 图标 HARRIS角点检测 目标识别 

分 类 号：TN911.73[电子电信—通信与信息系统]