A Surface Defect Inspection Model via Rich Feature Extraction and Residual-Based Progressive Integration CNN

A Surface Defect Inspection Model via Rich Feature Extraction and Residual-Based Progressive Integration CNN

Surface defect inspection is vital for the quality control of products and the fault diagnosis of equipment. Defect inspection remains challenging due to the low level of automation in some manufacturing plants and the difficulty in identifying defects. To improve the automation and intelligence lev...

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Bibliographic Details
Main Authors: Guizhong Fu, Wenwu Le, Zengguang Zhang, Jinbin Li, Qixin Zhu, Fuzhou Niu, Hao Chen, Fangyuan Sun, Yehu Shen
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Machines
Subjects:
defect inspection model
industrial application
convolutional neural network
rich feature extraction
residual-based progressive integration
Online Access:https://www.mdpi.com/2075-1702/11/1/124

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