Section I
Defect Detection in Woven Fabrics by Analysis of Co-occurrence Texture Features as a Function of Gray-level Quantization and Window Size
Authors:
- P. S. H. PallemullaEmail P. S. H. Pallemulla
- S. J. Sooriyaarachchi
- C. R. de Silva
- C. D. Gamage
Abstract
In this experimental research, the effects of gray-level quantization and tiling window size on 22 gray-level co-occurrence matrix features were investigated in the context of automated woven fabric defect detection. A dataset comprising 1426 128×128 images was used, in which defective and the defect-free images were split in a 50:50 ratio. Experiments were carried out with seven quantization levels (
- Year: 2021
- Volume: 54 Issue: 4
- Page/Article: 55-64
- DOI: 10.4038/engineer.v54i4.7470
- Published on 30 Dec 2021
- Peer Reviewed