计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (5): 154-155.

• 图形、图像、模式识别 • 上一篇    下一篇

货车车轮踏面区域分割方法研究

赵 勇   

  1. 长安大学 道路施工技术与装备教育部重点实验室，工程机械学院机械系，西安 710064
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-02-11 发布日期:2011-02-11

Study of tread region segmentation method of railway wagon wheel

ZHAO Yong   

  1. Key Laboratory of Highway Construction Technology and Equipment of Ministry of Education，Mechanical Department，School of Engineering Machinery，Chang’an University，Xi’an 710064，China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-02-11 Published:2011-02-11

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摘要： 为了实现踏面损伤的定位，提出了一种基于自适应阈值平稳小波的货车车轮踏面区域分割算法。首先采用基于自适应阈值平稳小波边缘检测算法检测踏面候选边缘线。最后利用踏面边缘线搜索算法获取踏面区域。实验结果表明：基于自适应阈值平稳小波边缘检测算法能检测到完整踏面候选边缘线，踏面边缘线搜索算法实现了踏面区域的分割。因此，该方法是一种有效的踏面区域分割方法。

关键词: 踏面区域, 自适应阈值, 平稳小波变换, 图像分割

Abstract: In order to realize the location of tread damages，tread region segmentation algorithm is proposed.Firstly，the tread candidate edges are detected by edge detection algorithm based on adaptive threshold stationary transform.Finally，the tread region is obtained using tread edge lines search algorithm.The experimental results show that the whole tread candidate edges are obtained by the edge detection algorithm based on adaptive threshold stationary transform.The tread region segmentation is achieved.Therefore，the proposed method is an effective tread region segmentation method.

Key words: tread region, adaptive threshold, stationary wavelet transform, image segmentation

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