首页> 外文会议>International Conference on Communications, Circuits and Systems >Research and design of inspection of LR6 battery negative surface scratches online defects based on computer vision
【24h】

Research and design of inspection of LR6 battery negative surface scratches online defects based on computer vision

机译:基于计算机视觉的LR6电池负极表面刮伤在线缺陷检测研究与设计

获取原文

摘要

According to the scratch defection of battery is caused by the manufacturing process and other causal factors during product, the paper proposes a method for battery surface defects detection based on machine vision. In order to obtain high-quality picture of the battery, the detection system using CMOS industrial cameras, and ring light source is designed and used; with the use of segmentation algorithm based on Canny edge defects, surface defects on the surface of battery cathode, and the scratch defection is defected through the calculation of scratch defects. It is found that the method of using a ring light source for imaging the battery cathode and through the scratch defect segmentation and extraction, the scratch defect Inspection is realized better.
机译:针对电池的划痕缺陷是由制造过程和产品生产过程中的其他原因引起的,本文提出了一种基于机器视觉的电池表面缺陷检测方法。为了获得高质量的电池图片,设计并使用了采用CMOS工业相机和环形光源的检测系统。通过使用基于Canny边缘缺陷,电池正极表面的表面缺陷和划痕缺陷的计算的划痕算法,可以对缺陷进行划痕。发现采用环形光源对电池阴极进行成像,并通过划痕缺陷的分割和提取,可以更好地实现划痕缺陷检测的方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号