Cargando…
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...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
|
| Materias: | |
| 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 |