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Fabric Defect Detection Using Activation Layer Embedded Convolutional Neural Network
This article develops a deep-learning algorithm for an on-loom fabric defect inspection system by combining the techniques of image pre-processing, fabric motif determination, candidate defect map generation, and convolutional neural networks (CNNs).
Date:
April 29, 2019
Creator:
Ouyang, Wenbin; Xu, Bugao; Hou, Jue & Yuan, Xiaohui
System:
The UNT Digital Library