Ellipse detection in digital image data using geometric features

被引：0
|
作者：
Libuda, Lars [1 ]
Grothues, Ingo [1 ]
Kraiss, Karl-Friedrich [1 ]
机构：
[1] Univ Aachen, Chair Tech Comp Sci, Aachen, Germany
来源：
ADVANCES IN COMPUTER GRAPHICS AND COMPUTER VISION | 2007年 / 4卷
关键词：
ellipse detection; shape analysis & representation; image analysis;
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：
Ellipse detection is an important task in vision based systems because many real world objects can be described by this primitive. This paper presents a fast data driven four stage filtering process which uses geometric features in each stage to synthesize ellipses from binary image data with the help of lines, arcs, and extended arcs. It can cope with partially occluded and overlapping ellipses, works fast and accurate and keeps memory consumption to a minimum.
引用
收藏
页码：229 / +
页数：3
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