| 基于GLCM算法的轮胎0°带束层接头缺陷检测 |
| Detection on Tire 0° Belt Connector Defect Based on GLCM Algorithm |
| 投稿时间：2017-04-13 修订日期：2017-05-08 |
| DOI： |
| 中文关键词: 轮胎 0°带束层 接头缺陷 特征提取 纹理特征 |
| 英文关键词: tire 0° Belt connector defect feature extraction texture feature |
| 基金项目: |
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| 中文摘要: |
| 以轮胎0°带束层接头缺陷区域的灰度分布特性为依据，利用传统的灰度共生矩阵（GLCM）算法实现0°带束层接头缺陷的纹理特征提取及识别。GLCM算法选取4个特征参量的8个特征值表征GLCM的纹理特征，再利用欧氏距离判别法判别缺陷。通过MATLAB仿真，得到特征参量的纹理值。结果表明，由GLCM产生的4个特征参量的纹理特征值可对接头缺陷有效描述，鉴别能力较强。 |
| 英文摘要: |
| 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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