Improved Training of CAE-Based Defect Detectors Using Structural Noise

Improved Training of CAE-Based Defect Detectors Using Structural Noise

Appearances of products are important to companies as they reflect the quality of their manufacture to customers. Nowadays, visual inspection is conducted by human inspectors. This research attempts to automate this process using Convolutional AutoEncoders (CAE). Our models were trained using images...

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Bibliographic Details
Main Authors: Reina Murakami, Valentin Grave, Osamu Fukuda, Hiroshi Okumura, Nobuhiko Yamaguchi
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
artificial intelligence
image processing
feature detection
autoencoder
convolutional autoencoder
Online Access:https://www.mdpi.com/2076-3417/11/24/12062

Internet

https://www.mdpi.com/2076-3417/11/24/12062

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