热电池装配缺陷的灰度峰值坐标比对算法
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TP391

基金项目:

“十三五”装备预研共用技术(41421070102)资助项目


Research on defects detecting method in thermal battery based on a comparison with coordinates of the peaks in gray histogram
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对热电池常见的装配缺陷,提出一种基于热电池电堆区域灰度峰值坐标比对的缺陷检测算法。 通过模板匹配、仿射 变换、灰度矫正、图像放大等预处理算法提取热电池电堆,分析热电池个数错误、漏装负极、漏装集流片、负极与集流片次序放 反、整体倒装 5 种缺陷时,灰度直方图波峰波谷个数、波峰波谷坐标距离等特征与标准电池的区别。 使用该算法对 400 个检测 样本进行实验验证,检测结果正确率达到 95. 5%,结果表明,该算法在热电池的批量无损检测中有较高的实用价值。

    Abstract:

    A method based on a comparison with the coordinates of the peaks in gray scale was proposed to detect the assembly defects of thermal battery. The stack of thermal battery was extracted by template matching. Then image preprocessing methods such as affine transformation, gamma correction and image pyramid were used to improve the contrast of the gray scale. Five defects included the deficiency of monomer thermal battery, the missing of negative electrode, the missing of current collector, wrong assembly order and the overall flip-chip of thermal battery were analyzed. Characteristics in defective battery such as the number of peaks and valleys in gray histogram, distances between the peak and valley were compared with corresponding ones in standard battery. Verified by 400 test images, the experimental results showed that the proposed method possesses an accuracy of 95. 5% and proved that this method can quickly and efficiently detect the defects in thermal battery.

    参考文献
    相似文献
    引证文献
引用本文

赵 涛,张思祥,徐文超,王 哲,赵子豪,周 围.热电池装配缺陷的灰度峰值坐标比对算法[J].电子测量与仪器学报,2020,34(7):133-140

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2023-11-20
  • 出版日期: