Study on the PCB Defect Detection Method Based on CPH-YOLOv5

Author:

Liu Bohong1,Tang Jia1

Affiliation:

1. Chongqing University of Posts and Telecommunications,School of Computer Science and Technology,Chongqing,China

Publisher

IEEE

Reference27 articles.

1. Research status and prospects of PCB defect detection algorithms based on machine vision;Wu;Journal of Instrumentation,2022

2. Research on PCB component installation defect detection algorithm based on binary projection;Cheng;Computer Engineering and Design,2010

3. PCB image enhancement algorithm based on dual sigmoid transformation;Guo;Science and Technology Journal,2011

4. Research on defect classification in PCB product visual inspection based on wavelet transform and SSVME;Ren;Computer Applications and Software,2012

5. Multi-scale defect detection of printed circuit board based on feature pyramid network

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