DocumentCode
584281
Title
Machine Vision Recognition of Auto-Hub
Author
Chen, Song
Author_Institution
Inf. Technol. Coll., Eastern Liaoning Univ., Dandong, China
fYear
2012
fDate
11-13 Aug. 2012
Firstpage
7
Lastpage
9
Abstract
In this paper, the auto-hub shape recognition algorithm using computer is studied thoroughly, including the basic functions of image processing, feature extraction, shape recognition and classification. It overcomes the disadvantages of manual recognition to meet the needs of identification and classification on the high-speed automated production line nowadays.
Keywords
computer vision; feature extraction; image classification; production engineering computing; shape recognition; auto-hub shape recognition algorithm; feature extraction; high-speed automated production line; image processing; machine vision recognition; shape classification; Feature extraction; Image edge detection; Image segmentation; Maximum likelihood detection; Noise reduction; Nonlinear filters; Wheels; auto-hub; edge extraction; image processing; machine vision; recognition and classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4673-0721-5
Type
conf
DOI
10.1109/CSSS.2012.10
Filename
6394248
Link To Document