Research on Visual Detection and Classification Technology for Surface Defects of Printed Circuit Boards
Author:
Affiliation:
1. Changchun University of Technology,Master of School of Electronic Information Engineering,Changchun City,China
2. Changchun University of Technology,School of Electronic Information Engineering,Changchun City,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10434935/10434274/10434275.pdf?arnumber=10434275
Reference10 articles.
1. Densely Connected Convolutional Networks
2. Image Quality Assessment: From Error Visibility to Structural Similarity
3. A PCB Dataset for Defects Detection and Classification[J];Huang,2021
4. Defect Classification of Electronic Circuit Board Using SVM based on Random Sampling
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