PCB Defect Detection Model Based on Intrinsic Feature Decomposition and Multilevel Fusion Against Image Uncertainty-Reference-Cited by-同舟云学术

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PCB Defect Detection Model Based on Intrinsic Feature Decomposition and Multilevel Fusion Against Image Uncertainty

Published:2024-06-15 Issue:12 Volume:24 Page:19497-19505
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Yu Xinyi¹^ORCID,Han-Xiong Li²,Yang Haidong³

Affiliation:

1. Fujian Key Laboratory of Intelligent Processing Technology and Equipment, Fujian University of Technology, Fuzhou, China

2. Department of Advanced Design and Systems Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong

3. Guangdong Engineering Research Center for Green Manufacturing and Energy Efficiency Optimization, Guangdong University of Technology, Guangzhou, Guangdong, China

Funder

Collaborative Innovation Platform Project of Fu Xia Quan National Independent Innovation Demonstration Zone

Research Initiation Program of Fujian University of Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10558706/10520206.pdf?arnumber=10520206

Reference33 articles.

1. Online defect detection method of array optical sensor based on watershed image processing algorithm

2. Printed Circuit Board Defect Detection Using Mathematical Expression in Image Processing

3. Improved Normalized Cross-Correlation for Defect Detection in Printed-Circuit Boards

4. A real-time approach for automatic defect detection from PCBs based on SURF features and morphological operations

5. Deep Siamese Semantic Segmentation Network for PCB Welding Defect Detection

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