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COMPARATIVE-STUDY OF HOUGH TRANSFORM METHODS FOR CIRCLE FINDING

被引：558
作者：
YUEN, HK
PRINCEN, J
ILLINGWORTH, J
KITTLER, J
机构：
[1] Department of Electronic and Electrical Engineering, University of Surrey, Guildford
来源：
IMAGE AND VISION COMPUTING | 1990年 / 8卷 / 01期
关键词：
circle detection; Hough Transform methods; performance;
D O I：
10.1016/0262-8856(90)90059-E
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A variety of circle detection methods which are based on variations of the Hough Transform are investigated. The five methods considered are the standard Hough Transform, the Fast Hough Transform of Li et al.1, a two stage Hough method, and two space saving approaches based on the method devised by Gerig and Klein2. The performance of each of the methods has been compared on synthetic imagery and real images from a metallurgical application. Figures and comments are presented concerning the accuracy, reliability, computational efficiency and storage requirements of each of the methods. © 1990.
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页码：71 / 77
页数：7
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