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Proceedings Paper

Train wheel edge detection and image object region segmentation
Author(s): Guo Nan; Shengfang Lu; Junen Yao
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Paper Abstract

Machine vision based mechanical appearance fault analysis and inspection is getting broad applications in past decades. Train wheel tread damage is a common fault pattern. The precedent step of the routine vision based analysis work is to get an image that includes the wheel surface. In this paper, a wheel curve edge extraction and object region segmentation framework is proposed. Firstly the salient rail line edge is extracted for a previous segmentation step and a sub image is acquired. Then line segment detector is used to detect the lines along the contours. And the wheel and shadow curve edge are approximated by line segments sets. Through certain geometry rules, the two edge lines are extracted. Finally the wheel object region is extracted perfectly and accurately.

Paper Details

Date Published: 1 November 2016
PDF: 6 pages
Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 1015723 (1 November 2016); doi: 10.1117/12.2246739
Show Author Affiliations
Guo Nan, Beihang Univ. (China)
Shengfang Lu, Beihang Univ. (China)
Junen Yao, Beihang Univ. (China)

Published in SPIE Proceedings Vol. 10157:
Infrared Technology and Applications, and Robot Sensing and Advanced Control

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