A edge feature matching algorithm based on evolutionary strategies and least trimmed square hausdorff distance

被引:0
|
作者
Li JunShan [1 ]
Han XianFeng
Li Long
Li Kun
Li JianJun
机构
[1] Xian Res Inst High Tech Hingqing Town, Xian 710025, Peoples R China
[2] Xidian Univ, Inst Intelligent Informat Proc, Xian 710000, Peoples R China
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D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Aimed at problems of low orientation precision of traditional gray correlation matching and bad real-time feature based on partial hausdorff distance matching, a edge feature matching algorithm based on evolutionary strategies and least trimmed square hausdorff distance is presented. Experiments show that it has good matching effect.
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收藏
页码:475 / 478
页数:4
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