Defect detection in textiles using back propagation neural classifier
The textile products are affected by the defects during the manufacturing processes. It is also waste of the resources used for the production and in turn it affects the business. The manual inspection in defect detections is not encouraged these days in manufacturing process. The computer vision wi...
Saved in:
| Main Authors: | Subrata Das, Amitabh Wahi, Suresh Jayaram |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Engineering Society for Corrosion, Belgrade
2023-09-01
|
| Series: | Zaštita Materijala |
| Subjects: | |
| Online Access: | https://www.zastita-materijala.org/index.php/home/article/view/91 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Exploring weft knit fabric defects based on their presence and quality impact: A case study
by: A. K. M. Mobarok Hossain, et al.
Published: (2023-05-01) -
Study of the Influence of the Surface Roughness of Knitted Fabrics from Natural Fibres on the Light Fastness of Their Colours
by: Olga Semeshko, et al.
Published: (2022-09-01) -
Estimation of spatial distribution and symmetry of textile materials using lacunarity
by: Jacek Grzybowski, et al.
Published: (2020-12-01) -
Microalgae growth and oxygen production on different textile fabrics
by: Ewin Tanzli, et al.
Published: (2022-03-01) -
Microalgae growth and oxygen production on different textile fabrics
by: Ewin Tanzli, et al.
Published: (2022-03-01)