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Proceedings Paper

Image segmentation algorithm for wheel set measuring based on region growing
Author(s): Qian Shi; Kaihua Wu
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Paper Abstract

High speed railway develops rapidly in recent years in China. Wheel set is the major running components of a train. Online measurement of wheel set wear parameters is important for the train safety. A method of wheel sets' wear online measurement based on structure light imaging and image analysis was proposed. A new image segmentation algorithm of wheel set based on region growing was put forward based on characteristics of wheel set images. According to the characteristics of wheel set images acquired in different circumstance, proper seed and appropriate growth standard was determined. After growth processing, the whole tread profile images were extracted. By processing number of images, the proposed algorithm eliminated effectively the interferences in the image acquisition and extracted whole wheel set profile curve from varied background.

Paper Details

Date Published: 28 November 2011
PDF: 7 pages
Proc. SPIE 8200, 2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 82000Y (28 November 2011); doi: 10.1117/12.904623
Show Author Affiliations
Qian Shi, Hangzhou Dianzi Univ. (China)
Kaihua Wu, Hangzhou Dianzi Univ. (China)


Published in SPIE Proceedings Vol. 8200:
2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology
Toru Yoshizawa; Ping Wei; Jesse Zheng, Editor(s)

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