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货车车轮踏面区域分割方法研究
引用本文:赵勇.货车车轮踏面区域分割方法研究[J].计算机工程与应用,2011,47(5):154-155.
作者姓名:赵勇
作者单位: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
基金项目:中央高校基本科研业务费专项资金资助和长安大学基础研究支持计划专项基金资助
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  
修稿时间: 

Study of tread region segmentation method of railway wagon wheel
ZHAO Yong.Study of tread region segmentation method of railway wagon wheel[J].Computer Engineering and Applications,2011,47(5):154-155.
Authors:ZHAO Yong
Affiliation: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
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.
Keywords:tread region  adaptive threshold  stationary wavelet transform  image segmentation
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