One class based feature learning approach for defect detection using deep autoencoders

Detecting defects is an integral part of any manufacturing process. Most works still utilize traditional image processing algorithms to detect defects owing to the complexity and variety of products and manufacturing environments. In this paper, we propose an approach based on deep learning which us...

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Bibliographic Details
Main Authors: Abdul Mujeeb, Dai, Wenting, Erdt, Marius, Sourin, Alexei
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/137979

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