胡佳成,陆枫,陈爱军,常旭,金云超.ABS齿圈环形表面缺陷检测方法[J].电子测量与仪器学报,2017,31(3):408-414
ABS齿圈环形表面缺陷检测方法
ABS gear ring round surface defect testing method
  
DOI:10.13382/j.jemi.2017.03.012
中文关键词:  ABS齿圈  图像处理  缺陷分类  合格性判定  OpenCV
英文关键词:ABS gear ring  image process  detectionclassification  qualifiedjudgement  OpenCV
基金项目:浙江省自然科学基金(LQ14F050004)资助项目
作者单位
胡佳成 中国计量大学杭州310018 
陆枫 中国计量大学杭州310018 
陈爱军 中国计量大学杭州310018 
常旭 中国计量大学杭州310018 
金云超 中国计量大学杭州310018 
AuthorInstitution
Hu Jiacheng China Metrology University, Hangzhou 310018, China 
Lu Feng China Metrology University, Hangzhou 310018, China 
Chen Aijun China Metrology University, Hangzhou 310018, China 
Chang Xu China Metrology University, Hangzhou 310018, China 
Jin Yunchao China Metrology University, Hangzhou 310018, China 
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中文摘要:
      针对传统人工方式检测汽车用ABS齿圈环形表面缺陷时存在检测效率低、易错检漏检的问题,提出一种基于图像处理的ABS齿圈环形表面缺陷检测方法。根据生产实际设计并组装ABS齿圈环形表面缺陷在线视觉检测系统,利用旋转电缸结合齿圈托台带动齿圈旋转,由线阵CCD扫描并得到齿圈环形表面图像,在经过基于OpenCV编写的图像处理算法处理后根据缺陷所在区域判断缺陷类型,进而判断齿圈合格性。通过实验将系统检测与人工检测结果进行对比,结果表明,每个齿圈平均检测时间≤4 s,缺陷分类正确率≥92%。
英文摘要:
      Aiming at the problem of testing the ABS gear ring round surface defectsby the traditional manual testingmethodswithlow efficiency, easy to error testing and missed testing,a method for testing the ABS gear ring round surface defect based on image processingisproposed.According to the actual produce, an on line visual testing system is designed and assembled. Using electric rotating machinery and gear ring supporting platform to drive gear ring around and get the picture of the gear ring round surface by liner CCD scanning. After processing the picture by image algorithm based on OpenCV,thedefectsarejudgedaccording to different existingarea,andthen the qualification of the gear ring is judged. Comparing with the results of system testing and artificial testing, itshows that the average testing time of each gear ring less than 4 s, the success rate of defect classification is more than 92%.
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