Title :
Machine Vision Recognition of Auto-Hub
Author_Institution :
Inf. Technol. Coll., Eastern Liaoning Univ., Dandong, China
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;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.10
