Photometric Stereo-Based Defect Detection System for Steel Components Manufacturing Using a Deep Segmentation Network.

Saiz, Fátima A; Barandiaran, Iñigo; Arbelaiz, Ander; Graña, Manuel

Saiz, Fátima A; Barandiaran, Iñigo; Arbelaiz, Ander; Graña, Manuel.

Afiliación

Saiz FA; Vicomtech Foundation, Basque Research and Technology Alliance (BRTA), Mikeletegi 57, 20009 Donostia-San Sebastián, Spain.
Barandiaran I; Computational Intelligence Group, Computer Science Faculty, University of the Basque Country, UPV/EHU, 20018 Donostia-San Sebastián, Spain.
Arbelaiz A; Vicomtech Foundation, Basque Research and Technology Alliance (BRTA), Mikeletegi 57, 20009 Donostia-San Sebastián, Spain.
Graña M; Vicomtech Foundation, Basque Research and Technology Alliance (BRTA), Mikeletegi 57, 20009 Donostia-San Sebastián, Spain.

Sensors (Basel) ; 22(3)2022 Jan 24.

Article en En | MEDLINE | ID: mdl-35161628

Palabras clave

deep learning; image processing; photometric stereo; quality control; semantic segmentation

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: España Pais de publicación: Suiza

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