A Review of Computer Vision Techniques in the Detection of Metal Failures

This paper considers and contrasts several computer vision techniques used to detect defects in metallic components during manufacturing or in service. Methodologies include statistical analysis, weighted entropy modification, Fourier transformations, neural networks, and deep learning. Such systems...

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Autores principales: Fitzgerald Deborah, Fragoudakis Roselita
Formato: article
Lenguaje:EN
FR
Publicado: EDP Sciences 2021
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Acceso en línea:https://doaj.org/article/cc29d016fa294ae6aa0f135dab1673b5
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