APMLF-YOLO: a progressive multi-level feature fusion algorithm for industrial PCB tiny defect detection

The Printed Circuit Board (PCB) relies on manual and electrical detection methods for quality inspection in its early stages. Traditional methods not only fail to meet the requirements of modern industry for detection efficiency and accuracy, but also make it difficult to achieve industrial deployme...

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Vydáno v:	Signal, image and video processing Ročník 19; číslo 14; s. 1195
Hlavní autoři:	Wang, Shoubin, Li, Kun, Peng, Guili, Gao, Pengcheng, Xing, Zhihan, Zhang, Hanrui, Gao, Zimeng, Li, Youbing, Fang, Xinchang, Jing, Lewei
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Springer London 01.12.2025 Springer Nature B.V
Témata:	Accuracy Algorithms Automation Circuit boards Computer Imaging Computer Science Deep learning Defects Design Efficiency Feature extraction Feature selection Image Processing and Computer Vision Industrial applications Information technology Machine learning Manufacturing Methods Modules Multimedia Information Systems Object recognition Original Paper Parallel processing Pattern Recognition and Graphics Printed circuit boards Printed circuits Public safety Redesign Salience Signal,Image and Speech Processing Task complexity Vision Vision systems Feature fusion Scale transformation High-precision detection of PCBs Attention Small targets
ISSN:	1863-1703, 1863-1711
On-line přístup:	Získat plný text
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