Intraclass Image Augmentation for Defect Detection Using Generative Adversarial Neural Networks

Surface defect identification based on computer vision algorithms often leads to inadequate generalization ability due to large intraclass variation. Diversity in lighting conditions, noise components, defect size, shape, and position make the problem challenging. To solve the problem, this paper de...

Descripción completa

Detalles Bibliográficos
Autores principales: Sampath, Vignesh, Maurtua, Iñaki, Aguilar Martín, Juan José, Iriondo, Ander, Lluvia, Iker, Aizpurua, Gotzone
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967620/
https://www.ncbi.nlm.nih.gov/pubmed/36850460
http://dx.doi.org/10.3390/s23041861

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967620/
https://www.ncbi.nlm.nih.gov/pubmed/36850460
http://dx.doi.org/10.3390/s23041861

Ejemplares similares