计算机应用 ›› 2014, Vol. 34 ›› Issue (8): 2221-2226.DOI: 10.11772/j.issn.1001-9081.2014.08.2221

• 第五届中国数据挖掘会议(CCDM 2014)论文 • 上一篇    下一篇

灰度累积投影直方图在胎冠缺陷检测中的应用

韩延彬1,2,3,王杰1,2,3,夏英杰1,2,3,李金屏1,2,3   

  1. 1. 济南大学 山东省网络环境智能计算技术重点实验室,济南250022
    2. 济南大学 信息科学与工程学院,济南250022
    3. 济南大学 山东省网络环境智能计算技术重点实验室,济南250022
  • 收稿日期:2014-05-05 修回日期:2014-05-15 出版日期:2014-08-01 发布日期:2014-08-10
  • 通讯作者: 韩延彬
  • 作者简介:韩延彬(1979-),男,山东潍坊人,副教授,主要研究方向:模式识别、图像处理;王杰(1989-),男,山东临沂人,硕士研究生,主要研究方向:图像处理、模式识别;夏英杰(1978-),男,山东济南人,讲师,硕士,主要研究方向:图像处理、模式识别;李金屏(1968-),男,河南焦作人,博士,CCF会员,主要研究方向:机器学习、图像处理。
  • 基金资助:

    国家自然科学基金资助项目;山东省高等学校科技计划项目

Application of gray cumulative projection histogram in detection of tire crown crack

Han Yanbin1,2,WANG Jie1,2,XIA Yingjie1,2,LI Jinping1,2   

  1. 1. School of Information Science and Engineering, University of Jinan, Jinan Shandong 250022, China;
    2. Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan Shandong 250022, China
  • Received:2014-05-05 Revised:2014-05-15 Online:2014-08-01 Published:2014-08-10
  • Contact: Han Yanbin

摘要:

针对轮胎胎冠帘线搭接缺陷的自动检测问题,提出一种基于胎冠X射线图像的检测方法。首先,依据胎冠的X射线影像和投影角计算胎冠成像的灰度累积投影曲线;然后,计算曲线的局部峰值能量分布;其次,采用前n个最大峰值能量构造投影曲线的能量特征向量,并利用支持向量机(SVM)分类器进行最大投影曲线的判别;最后,利用位置反演计算对缺陷进行定位。仿真实验结果表明,所提方法可以对生产过程中采集的1000幅胎冠图像进行有效的缺陷检测,其最高检测正确率可达97.7%。

Abstract:

For automatic detection of tire crown cord overlap defect, a detection method based on the crown X ray image was presented. Firstly, the gray cumulative projection curves that X-ray image was projected along different angles were obtained. Secondly, the local peak energy distribution of curves were calculated and the energy feature vector was constructed by the n largest peak energy values. Thirdly, the tire crown crack image was recognized by the maximum projection curve which could be distinguished through the energy feature vector by Support Vector Machine (SVM). Lastly, using the position inverse calculation, the tire crown crack was located. The experimental results demonstrate that the proposed approach was effective to detect the defects of tire crown which caused by tire cord overlap. The highest rate of correct detection can reach 97.7% in the 1000 crown images collected by the process of production.

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