Defect Detection in Woven Fabrics by Analysis of Co-occurrence Texture Features as a Function of Gray-level Quantization and Window Size
Open Access
|Dec 2021Abstract
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 (
DOI: https://doi.org/10.4038/engineer.v54i4.7470 | Journal eISSN: 2550-3219
Language: English
Page range: 55 - 64
Published on: Dec 30, 2021
Published by: The Institution of Engineers, Sri Lanka
In partnership with: Paradigm Publishing Services
© 2021 P. S. H. Pallemulla, S. J. Sooriyaarachchi, C. R. de Silva, C. D. Gamage, published by The Institution of Engineers, Sri Lanka
This work is licensed under the Creative Commons License.