A computer vision-based system for automatic detection of misarranged warp yarns in yarn-dyed fabric. Part II: warp region segmentation
Author:
Affiliation:
1. Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong, China;
2. Key Laboratory of Eco-textiles, Ministry of Education, School of Textile and Clothing, Jiangnan University, Wuxi, China
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Polymers and Plastics,General Agricultural and Biological Sciences,Materials Science (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/00405000.2019.1585627
Reference11 articles.
1. Automatic machine embroidery image color analysis system. Part I: Using Gustafson-Kessel clustering algorithm in embroidery fabric color separation
2. Color and Pattern Analysis of Printed Fabric by an Unsupervised Clustering Method
3. An unsupervised method for dominant colour region segmentation in yarn‐dyed fabrics
4. Color segmentation of multi-colored fabrics using self-organizing-map based clustering algorithm
5. Pan, R., Gao, W. & Liu, J. (2009). Skew rectification for yarn-dyed fabric via FFT in HSL color space. In 2009 WRI World Congress on Software Engineering (Vol. 2, pp. 481–485). IEEE.
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