Object matching using generalized Hough transform and Chamfer matching

被引：0
|
作者：
Cho, Tai-Hoon [1 ]
机构：
[1] Korea Univ Educ & Technol, Sch Informat Technol, Cheonan, South Korea
来源：
PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2006年 / 4099卷
关键词：
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：
In this paper, an edge-based matching algorithm is proposed that combines the generalized Hough transform (GHT) and the Chamfer matching to complement weakness of either method. First, the GHT is used to find approximate object positions and orientations, and then these parameters are refined using the Chamfer matching with distance interpolation. Matching accuracy is further enhanced by using a subpixel algorithm. The algorithm was successfully tested on many images containing various electronic components.
引用
收藏
页码：1253 / 1257
页数：5
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