Image segmentation algorithm for wheel set measuring based on region growing

被引：1
|
作者：
Shi, Qian [1 ]
Wu, Kaihua [1 ]
机构：
[1] Hangzhou Dianzi Univ, Coll Life Informat Sci & Instrument Engn, Hangzhou 310018, Peoples R China
来源：
2011 INTERNATIONAL CONFERENCE ON OPTICAL INSTRUMENTS AND TECHNOLOGY: OPTOELECTRONIC IMAGING AND PROCESSING TECHNOLOGY | 2011年 / 8200卷
关键词：
Railway safety; Wheel set measurement; Image segmentation; Region growing; Single connected region growing;
D O I：
10.1117/12.904623
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
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.
引用
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页数：7
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