Intelligent defect classification system based on deep learning

A fast and intelligent defect classification system for distinguishing defect features is developed in this study. Defect images obtained from an automated optical inspection instrument are first trained utilizing a deep learning approach based on the convolutional neural network. The detailed featu...

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Bibliographic Details
Main Authors: Ruifang Ye, Chia-Sheng Pan, Ming Chang, Qing Yu
Format: Article
Language:English
Published: SAGE Publishing 2018-03-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/1687814018766682