Color histogram-based detection of defects on circuit boards surface

被引：0
|
作者：
Yang, Zihuai [1 ,2 ]
Huang, Haihong [1 ,2 ]
Liu, He [1 ,2 ]
Liu, Yun [1 ,2 ]
Li, Xinyu [1 ,2 ]
Liu, Zhifeng [1 ,2 ]
机构：
[1] School of Mechanical Engineering, Hefei University of Technology, Hefei,230009, China
[2] Key Laboratory of Green Design and Manufacturing of Mechanical Industry, Hefei University of Technology, Hefei,230009, China
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2024年 / 30卷 / 07期
关键词：
Computer vision - Electric network analysis - Graphic methods - Quality assurance - Recycling - Support vector machines - Timing circuits;
D O I：
10.13196/j.cims.2021.0946
中图分类号：
学科分类号：
摘要：
To improve the recycling rate of waste circuit boards,aiming at the common defects on the surface of recycled circuit boards,a quadtree split color histogram detection method was proposed based on uniform blocking,the surface defects of circuit boards were located effectively and quickly,and the defect classification was realized by Support vector machine(SVM),thus providing quality assurance for the secondary utilization of circuit boards.The influence of block size and judgment threshold on defect location results was analyzed,and the detection speed was significantly improved compared with the uniform block method while ensuring the detection accuracy.Compared with the Faster-RCNN method,the result showed that the proposed method had a good localization effect and the average classification accuracy was 81%. © 2024 CIMS. All rights reserved.
引用
收藏
页码：2296 / 2305
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