Unsupervised segmentation of printed fabric patterns based on mean shift algorithm-Reference-Cited by-同舟云学术

Unsupervised segmentation of printed fabric patterns based on mean shift algorithm

Published:2021-01-29 Issue:1 Volume:113 Page:1-9
ISSN:0040-5000
Container-title:The Journal of The Textile Institute
language:en
Short-container-title:The Journal of The Textile Institute

Author:

Kumah Charles¹²,Zhang Ning¹,Raji Rafiu King³,Li Zhongjian¹,Pan Ruru¹

Affiliation:

1. Key Laboratory of Eco-textiles, Ministry of Education, School of Textile & Clothing, Jiangnan University, Wuxi, China;

2. Department of Industrial Art, Ho Technical University, Volta Region, Ho, Ghana;

3. Engineering Research Center of Knitting Technology, Ministry of Education, Jiangnan University, Wuxi City, Jiangsu Province, People’s Republic of China

Funder

Fundamental Research for the Central Universities

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/10.1080/00405000.2020.1867413

Reference22 articles.

1. Review of MR image segmentation techniques using pattern recognition

2. K-Means Cluster Analysis for Image Segmentation

3. Gonzalez, R. C. & Woods, R. E. (1992). Digital image processing. Addison-Wesley Reading.

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