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

Reliable functionality in anomaly detection in thermal image datasets is crucial for defect detection of industrial products. Nevertheless, achieving reliable functionality is challenging, especially when datasets are image sequences captured during equipment runtime with a smooth transition from he...

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Detalles Bibliográficos
Autores principales: Behrouzi, Sasha, Dix, Marcel, Karampanah, Fatemeh, Ates, Omer, Sasidharan, Nissy, Chandna, Swati, Vu, Binh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381700/
https://www.ncbi.nlm.nih.gov/pubmed/37504814
http://dx.doi.org/10.3390/jimaging9070137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381700/
https://www.ncbi.nlm.nih.gov/pubmed/37504814
http://dx.doi.org/10.3390/jimaging9070137

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