Journal of Textile Research ›› 2020, Vol. 41 ›› Issue (09): 155-161.doi: 10.13475/j.fzxb.20191004807

• Comprehensive Review • Previous Articles     Next Articles

Research and development of textile color measurement based on imaging technologies

QIU Kebin1, CHEN Weiguo1,2(), ZHOU Hua1,2, YING Shuangshuang1   

  1. 1. College of Textile Science and Engineering(International Institute of Silk), Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China
    2. Shangyu Industrial Technology Research Institute Co., Ltd., Zhejiang Sci-Tech University, Shaoxing, Zhejiang 312300, China
  • Received:2019-10-22 Revised:2020-03-28 Online:2020-09-15 Published:2020-09-25
  • Contact: CHEN Weiguo E-mail:wgchen@zstu.edu.cn

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Abstract:

Fast, accurate and efficient methods of textile color measurement have always been actively sought in the textile field, and imaging technologies have been applied for textile color measurement. This paper reviews and introduces characteristics of the photoelectric integration and spectrophotometry, as well as their limitations in the color measurement of textiles. The imaging characteristics of digital camera, multispectral imaging, and hyperspectral imaging were described, and the effects of camera color characterization, spectral reconstruction algorithm, and image segmentation method on textile color measurement were analyzed, leading to the the summary of research results and applications in the field of textile color measurement. This review paper also presents the prospective views on future developments in textile color measurement from the perspective of the characteristics of textile colors, the requirements of textile color measurement, and the advantages of ″spectral integration″ of hyperspectral imaging technology, the development direction of hyperspectral imaging technology.

Key words: textiles, color measurement, spectral imaging, spectral reconstruction method, image segmentation method, camera color characterization

CLC Number: 

  • TS101.9

Fig.1

Image acquisition method of light source-N narrowband filters-sensor"

Fig.2

Principle of hyperspectral imaging technology with PGP Component"

Fig.3

Hyperspectral image acquisition methods. (a) Spot scan; (b) Line scan; (c) Area scan"

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