Improving Visual Defect Detection and Localization in Industrial Thermal Images Using Autoencoders.

Behrouzi, Sasha; Dix, Marcel; Karampanah, Fatemeh; Ates, Omer; Sasidharan, Nissy; Chandna, Swati; Vu, Binh

Behrouzi, Sasha; Dix, Marcel; Karampanah, Fatemeh; Ates, Omer; Sasidharan, Nissy; Chandna, Swati; Vu, Binh.

Afiliação

Behrouzi S; Applied Data Science and Analytics, SRH University, 69123 Heidelberg, Germany.
Dix M; Industrial Data Analytics, ABB Corporate Research, 68526 Ladenburg, Germany.
Karampanah F; Applied Data Science and Analytics, SRH University, 69123 Heidelberg, Germany.
Ates O; Applied Data Science and Analytics, SRH University, 69123 Heidelberg, Germany.
Sasidharan N; Applied Data Science and Analytics, SRH University, 69123 Heidelberg, Germany.
Chandna S; Applied Data Science and Analytics, SRH University, 69123 Heidelberg, Germany.
Vu B; Applied Data Science and Analytics, SRH University, 69123 Heidelberg, Germany.

J Imaging ; 9(7)2023 Jul 07.

Article em En | MEDLINE | ID: mdl-37504814

Palavras-chave

anomaly detection; autoencoder; deep learning; industrial image; novelty detection; thermal image

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: J Imaging Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha

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