| Detection on Tire 0° Belt Connector Defect Based on GLCM Algorithm |
| Received:April 13, 2017 Revised:May 08, 2017 |
| DOI： |
| Key Words: tire；0° Belt；connector defect；feature extraction；texture feature |
| Author Name | Affiliation | E-mail | | Zhang Yuangang* | Qingdao University of Science and Technology,Qingdao,Shandong,266061 | 187273476@qq.com | | Liu Zhonghua | Qingdao University of Science and Technology,Qingdao,Shandong,266061 | |
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| Abstract: |
| Based on the gray distribution characteristics of 0° belt connector defective regions of the tire，the traditional Gray Level Co-occruence Matrix（GLCM）algorithm was used to realize the feature extraction and recognition of defects.For GLCM algorithm the eight eigenvalues of the four characteristic parameters was selected as the texture feature of GLCM，and then Euclidean distance method was used to identify defects.Through MATLAB simulation，the characteristic parameters of texture feature were obtained.The results showed that texture tigenvalues of the four features parameters produced by GLCM could be used to describe the connector defects effectively，which had stronger identification ability. |
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