Two-step image registration by artificial immune system and chamfer matching

作     者：叶发茂 徐少平 熊宇虹 

作者机构：Department of Computer Science and EngineeringNanchang University 

出 版 物：《Chinese Optics Letters》 (中国光学快报（英文版）)

年 卷 期：2008年第6卷第9期

页      面：651-653页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 081002[工学-信号与信息处理] 0702[理学-物理学] 

基　　金：National"863"Program of China(No.2006AA12Z130) the Natural Science Foundation of Jiangxi Province.China(No.G J J08039) the Digital Land Key Lab of Jiangxi Province,China(No.DLLJ200605) 

主　　题：Image enhancement Image registration Immunology Mathematical transformations Network protocols Object recognition Sensor networks Sensors 

摘      要：Image registration is the precondition and foundation in the fusion of multi-source image data. A two-step approach based on artificial immune system and chamfer matching to register images from different types of sensors is presented. In the first step, it extracts the large edges and takes chamfer distance between the input image and the reference image as similarity measure and uses artificial immune network algorithm to speed up the searching of the initial transformation parameters. In the second step, an area-based method is utilized to refine the initial transformation and enhance the registration accuracy. Experimental results show that the proposed approach is a promising method for registration of multi-sensor images.