A Practical Method for Circular Hole Measurement Based on Machine Vision

被引：1
|
作者：
Jin, Yan [1 ]
Zhou, Yongliang [1 ]
Chen, Biao [2 ]
机构：
[1] Zhejiang Univ Technol, Coll Informat Engn, Pingfeng Campus, Hangzhou 310023, Zhejiang, Peoples R China
[2] Zhejiang Univ, Ctr Opt & Electromagnet Res, Hangzhou 310058, Zhejiang, Peoples R China
来源：
EQUIPMENT MANUFACTURING TECHNOLOGY AND AUTOMATION, PTS 1-3 | 2011年 / 317-319卷
关键词：
Hough Transform; Circle Measurement; Machine Vision; Voting Method; HOUGH TRANSFORM; CIRCLE DETECTION;
D O I：
10.4028/www.scientific.net/AMR.317-319.837
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Non-contact Measurement of circular hole, which based on machine vision is already used for industrial applications. In this paper, a novel practical method to obtain parameters of a circular hole from an image is presented. The main idea of the proposed method is that we use gradient information to find a region that contains possible centers of the circle (the hole) and use evidence-collecting process to obtain the reasonable radius. This method fits the situation that the hole object in a image is totally brighter or darker than its background. Experimental results demonstrate that our method can detect the hole with the acceptable precision and stability for practical applications.
引用
收藏
页码：837 / +
页数：2
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