Efficient polygonal decomposition into singular and regular regions via Voronoi diagrams

被引:0
|
作者
Rocha, J [1 ]
机构
[1] Dept Math & Comp Sci, E-07071 Palma de Mallorca, Spain
来源
15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 3, PROCEEDINGS: IMAGE, SPEECH AND SIGNAL PROCESSING | 2000年
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
This paper defines a polygonal decomposition into regular and singular regions, a concept that is useful for skeleton extraction and part analysis of shapes, specially, elongated figures. We define a closeness criterion among segments using the Voronoi diagram of a polygon, that together with a parallelism criterion, gives support to a new definition of regular regions. Regular regions correspond to the ones surrounded by smooth quasi-parallel contour lines, while singular regions are the polygonal regions that are not regular. We present an efficient algorithm to calculate the decomposition, and some experiments.
引用
收藏
页码:762 / 765
页数:4
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