An Algorithm for Ellipse Detection Based on Geometry

被引：0

作者：

Xiao, Peng ^{[1
]}

Zhao, Guangming ^{[1
]}

Chen, Youping ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Mech Sci & Engn, Wuhan 430074, Peoples R China

来源：

PROCEEDINGS OF THE 2009 CHINESE CONFERENCE ON PATTERN RECOGNITION AND THE FIRST CJK JOINT WORKSHOP ON PATTERN RECOGNITION, VOLS 1 AND 2 | 2009年

关键词：

ellipse detection; least square; Hough transform;

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：

The ellipse detection is one of the classic problems in digital image processing, and has broad application prospects in machine vision, especially in automatic detection and assembly. In this paper, a novel algorithm for ellipse detection based on geometry features is presented. With the help of projection methods, the center of ellipse is detected and used to reduce the dimension of ellipse parameter space. The algorithm is applied on a set of synthetic images and industrial images in simulation and results show that the algorithm has achieved desirable detection performance.

引用

页码：286 / 289

页数：4