Abstract
Purpose
The purpose of this paper is introducing the image processing technology used for fabric analysis, which has the advantages of objective, digital and quick response.
Design/methodology/approach
This paper briefly describes the key process and module of some typical automatic recognition systems for fabric analysis presented by previous researchers; the related methods and algorithms used for the texture and pattern identification are also introduced.
Findings
Compared with the traditional subjective method, the image processing technology method has been proved to be rapid, accurate and reliable for quality control.
Originality/value
The future trends and limitations in the field of weave pattern recognition for woven fabrics have been summarized at the end of this paper.
Subject
Management of Technology and Innovation,Industrial and Manufacturing Engineering,Materials Science (miscellaneous),Business and International Management
Reference25 articles.
1. Detection of weave types in woven fabrics by observing optical diffraction pattern;Sen-I Gakkaish,1986
2. An advanced approach to extraction of colour texture features based on GLCM;International Journal of Advanced Robotic Systems,2014
3. Skew detection and yarns density calculation for woven fabric;Journal of Fiber Bioengineering and Informatics,2014
4. Automatic recognition of woven fabric by using gray level co-occurrence matrix;Journal of Information and Computational Science,2012
Cited by
12 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献