Periodic Surface Defect Detection in Steel Plates Based on Deep Learning

Periodic Surface Defect Detection in Steel Plates Based on Deep Learning

It is difficult to detect roll marks on hot-rolled steel plates as they have a low contrast in the images. A periodical defect detection method based on a convolutional neural network (CNN) and long short-term memory (LSTM) is proposed to detect periodic defects, such as roll marks, according to the...

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Bibliographic Details
Main Authors: Yang Liu, Ke Xu, Jinwu Xu
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Applied Sciences
Subjects:
periodic defect
deep learning
CNN
LSTM
attention mechanism
Online Access:https://www.mdpi.com/2076-3417/9/15/3127

Internet

https://www.mdpi.com/2076-3417/9/15/3127

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