A review of woven fabric pattern recognition based on image processing technology

2016 ◽  
Vol 20 (1) ◽  
pp. 37-47 ◽  
Author(s):  
Rui Zhang ◽  
Binjie Xin

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.

2020 ◽  
Vol 39 (4) ◽  
pp. 5009-5016
Author(s):  
Yuanheng Gao ◽  
Leilei Wang ◽  
Heqing Zhang

Today, with the rapid development of urbanization, the ecological and environmental problems of the city have become increasingly serious and have become the focus of the world. The most important issue facing the majority of ecological workers is how to apply the theory of ecology to solve today’s problems. The various environmental problems faced in urban life and the sustainable development of the city’s ecological civilization. How ecological planning is used to coordinate the relationship between people and the natural environment and natural resources is increasingly gaining attention and expanding the range and scope of its applications. However, as an ecological suitability analysis based on ecological planning, many analytical methods and systems are still being explored and developed due to the geographical complexity and factor diversity involved. In recent years, with the rapid development of computer hardware and software technology, pattern recognition has received more and more attention, pattern recognition and image processing technology has become more and more perfect, and has been successfully applied in more and more fields. This thesis begins to focus on the urban ecological suitability content based on pattern recognition technology and image processing. The main contents of this thesis include: introducing the background of urban ecological suitability and the status quo of ecological suitability analysis and existing research methods. According to the structure of the urban ecosystem and the national standards for the construction of ecological systems and ecological cities, an indicator system for ecological suitability evaluation is established. A pattern recognition system and common pattern recognition and image processing methods are introduced. Based on some common evaluation methods and models, the pattern recognition technology theory and image processing technology are introduced into the urban ecological suitability analysis. Based on the image system theory and vector projection principle, the ecological suitability analysis is established. Associated projection model. The model considers the evaluation sample and the quality standards at each level as vectors, and respectively projects the same vector ideal. Based on establishing the ecological suitability evaluation index system and standards, the ecological suitability was evaluated by using the model.


2016 ◽  
Vol 20 (1) ◽  
pp. 24-36 ◽  
Author(s):  
Guohong Zhang ◽  
Binjie Xin

Purpose This paper aims to overview the current status of development and application of digital image processing technology used for the yarn hairiness evaluation. Design/methodology/approach Digital image processing technology is one of the new methods used for the yarn detection, which can be used for the digital characterization and objective evaluation of yarn appearance. The comparison between the traditional detection methods and this new developed method was made and analyzed. Findings Compared with the traditional methods, image-based methods have the advantages of being objective, fast and accurate. Therefore, it was proved that digital image processing techniques should be a new trend in terms of the yarn appearance evaluation.


2019 ◽  
Vol 75 (2) ◽  
pp. I_1267-I_1272
Author(s):  
Naoki FUKUHARA ◽  
Tetsuya TAKESHITA ◽  
Fuminori KATO ◽  
Takuya TERANISHI ◽  
Takahiro AKITA ◽  
...  

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