Content-based lace fabric image retrieval system using texture and shape features-Reference-Cited by-同舟云学术

Content-based lace fabric image retrieval system using texture and shape features

Published:2018-11-15 Issue:6 Volume:110 Page:911-915
ISSN:0040-5000
Container-title:The Journal of The Textile Institute
language:en
Short-container-title:The Journal of The Textile Institute

Author:

Li Yueyang¹,Luo Haichi²,Jiang Gaoming¹,Cong Honglian¹

Affiliation:

1. Engineering Research Center for Knitting Technology, Ministry of Education, Jiangnan University, Wuxi, China;

2. Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi, China

Funder

Natural Science Foundation of Jiangsu Province

Fundamental Research Funds 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/10.1080/00405000.2018.1532782

Reference13 articles.

1. Textural Features for Image Classification

2. Jing, H., Kumar, S. R., Mitra, M., Wei-Jing, Z. & Zabih, R. (1997, June). Image indexing using color correlograms. Paper presented at the Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

3. Jyothi, B., MadhaveeLatha, Y. & Mohan, P. G. K. (2015a, January). An effective multiple visual features for Content Based Medical Image Retrieval. Paper presented at the 2015 IEEE 9th International Conference on Intelligent Systems and Control (ISCO).

4. Jyothi, B., MadhaveeLatha, Y. & Mohan, P. G. K. (2015b, March). Region based texture descriptor for content based medical image retrieval using second order moments. Paper presented at the 2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS).

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