A Corner Feature Matching Model Based on Improved Hausdorff Distance
A new corner detection algorithm is proposed to get image corners,and then a novel improved partial Hausdorff distance is presented as the similarity measure between the template and images.Finally,a genetic algorithm with the probabilities of crossover and mutation self-adaption based on fuzzy control is used to search the optimum matching quickly. The experimental results show that the matching model composed of these algorithms is capable of fast and effective image matching and has higher speed and better quality compared with other similar matching algorithms.
feature matching corner extraction Hausdorff distance genetic algorithm fuzzy control
Gang Xu Wenxian Yang
Department of Electrical and Electronic Engineering North China Electric Power University Beijing 102206, China
国际会议
长沙
英文
929-932
2009-10-10（万方平台首次上网日期，不代表论文的发表时间）