A Corner Feature Matching Model Based on Improved Hausdorff Distance

被引：0
|
作者：
Xu, Gang [1 ]
Yang, Wenxian [1 ]
机构：
[1] N China Elect Power Univ, Dept Elect & Elect Engn, Beijing 102206, Peoples R China
来源：
ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL I, PROCEEDINGS | 2009年
关键词：
feature matching; corner extraction; Hausdorff distance; genetic algorithm; fuzzy control;
D O I：
10.1109/ICICTA.2009.231
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：929 / 932
页数：4
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