A Multi-Sensor Image Registration Approach Based On Edge-Correlation

摘要：

In this paper we propose a multi-sensor image registration approach based on edge-correlation. Firstly, edges of images are extracted and the longer edges are coded by modified Freeman. Secondly initializing correlation of chain code is calculated by integrating correlation coefficient and other methods, then the consistency detection succeeds by relative distance ratio histogram clustering detector based on center of edge correlation and angje histogram clustering detector based on average directional angle difference of edge correlation. During the cakulation of average directional angle difference of edge correlation, modified histogram approach in this paper is much better than line-fitting approach. Finally accurate edge correlation pair is obtained, and then image registration parameter is attained by applying least square algorithm (LSM) in interrelated parts. The approach presented rn this paper can register images of wide translational and rotary range.

关键词： image registration multr:sensor edge extract correlation

作者: Niu Li-pi Yang Ying-yun Zhang Wen-hui Jiang Xiu-hua

作者单位: Electronic Information Engineering School Communication University of China Beijing China 100024

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 876-880

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）