Feature fusion–based preprocessing for steel plate surface defect recognition

Feature fusion–based preprocessing for steel plate surface defect recognition

To address the problem of steel strip surface defect detection, a feature fusion–based preprocessing strategy is proposed based on machine vision technology. This strategy can increase the feature dimension of the image, highlight the pixel features of the image, and improve the recognition accuracy...

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Bibliographic Details
Main Authors: Yong Tian, Tian Zhang, Qingchao Zhang, Yong Li, Zhaodong Wang
Format: Article
Language:English
Published: AIMS Press 2020-08-01
Series:Mathematical Biosciences and Engineering
Subjects:
convolutional neural network
image fusion
feature extraction
steel plate surface defect
image recognition
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2020305?viewType=HTML

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