An identification and classification method for circular object based on rotating image template matching

Author

Jianke Chen ; Chao Hu ; Xiaoying Yuan ; Zhongqing Feng ; Houxiang Miao

Author_Institution

Taiyuan Univ. of Sci. & Technol., Taiyuan, China

fYear

2013

fDate

4-7 Aug. 2013

Firstpage

1338

Lastpage

1343

Abstract

This paper describes a method for automatically identifying and classifying various circular objects by image processing and machine vision technology. Firstly, the object images are acquired by an industrial camera, and the object range is determined, which is preprocessed by binary and noise filtering; Secondly, a region growing method and a circle-touching are used to find out the center of circular object; Finally, circular template matching method is used to extract the similarity feature of different circular objects, so as to determine the type of target circular object. The experiments prove the validity of this method.

Keywords

computer vision; feature extraction; filtering theory; image classification; image matching; object detection; binary filtering; circle-touching; circular object classification method; circular object identification method; circular template matching method; image processing technology; industrial camera; machine vision technology; noise filtering; object range; region growing method; rotating image template matching; similarity feature extraction; Assembly; Feature extraction; Noise; Object recognition; Real-time systems; Wheels; circular object; circular template matching; identification and classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation (ICMA), 2013 IEEE International Conference on

Conference_Location

Takamatsu

Print_ISBN

978-1-4673-5557-5

Type

conf

DOI

10.1109/ICMA.2013.6618107

Filename

6618107