Multisets mixture learning-based ellipse detection

被引：16
|
作者：
Liu, ZY
Qiao, H
Xu, L [1 ]
机构：
[1] Chinese Univ Hong Kong, Dept Comp Sci & Engn, Shatin, Hong Kong, Peoples R China
[2] Chinese Acad Sci, Key Lab Complex Syst & Intelligence Sci, Inst Automat, Beijing, Peoples R China
来源：
PATTERN RECOGNITION | 2006年 / 39卷 / 04期
关键词：
ellipse detection; multisets mixture learning; hough transform;
D O I：
10.1016/j.patcog.2005.11.018
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We develop an ellipse detection algorithm based on the multisets mixture learning (MML) that differs from the conventional Hough transform perspective. The algorithm developed has potential advantages in terms of noise resistance, incomplete ellipse detection, and detecting a multitude of ellipses. (c) 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
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页码：731 / 735
页数：5
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