Impact of Image Compression on the Performance of Steel Surface Defect Classification with a CNN

Impact of Image Compression on the Performance of Steel Surface Defect Classification with a CNN

Machine vision is increasingly replacing manual steel surface inspection. The automatic inspection of steel surface defects makes it possible to ensure the quality of products in the steel industry with high accuracy. However, the optimization of inspection time presents a great challenge for the in...

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Bibliographic Details
Main Authors: Tajeddine Benbarrad, Lamiae Eloutouate, Mounir Arioua, Fatiha Elouaai, My Driss Laanaoui
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Journal of Sensor and Actuator Networks
Subjects:
machine vision
convolutional neural network
image compression
steel surface defect classification
Online Access:https://www.mdpi.com/2224-2708/10/4/73

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