Journal of Textile Research ›› 2021, Vol. 42 ›› Issue (11): 97-102.doi: 10.13475/j.fzxb.20201103806

• Dyeing and Finishing & Chemicals • Previous Articles     Next Articles

Interactive color replacement method for printed fabrics based on Mean-shift

HU Qun, ZHANG Ning, PAN Ruru   

  1. Key Laboratory of Eco-Textiles(Jiangnan University), Ministry of Education, Wuxi, Jiangsu 214122, China
  • Received:2020-11-17 Revised:2021-06-09 Online:2021-11-15 Published:2021-11-29

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Abstract:

In order to enhance the professional design skills, increase the efficiency in pattern proofing and facilitate color replacement for product series in designing and producing printed fabrics, a color separation and color replacement method was proposed for the printed fabric based on texture smoothing and Mean-shift image segmentation.The printed fabrics were captured and cut to obtain the images before the fabric image was smoothed using the relative total variation model. After transferring into CIE1976L*a*b*color space, the image was segmented using Mean-shift clustering to extract the separated colors. The mapping relationship between new color and original color was built for color replacement. Finally, color replacement was achieved by interactively adjusting values of the separated colors. Different printed fabrics were captured for the color replacement experiments, and the results show that fabric images after color replacement are natural and practical, and texture details of the fabrics are reserved completely. This method can assist the design of printed fabrics as well as effects simulation of fabric proofing.

Key words: printed fabric, image smoothing, image segmentation, Mean-shift clustering, separated color replacement

CLC Number: 

  • TS194.1

Fig.1

Examples of printed fabric image (a) and smoothed image(b)"

Fig.2

Separated image of printed fabric"

Fig.3

Separated color replacement of printed fabric"

Fig.4

Separated color replacement comparison"

Fig.5

Smoothing parameter λ adjustment"

Fig.6

Smoothing parameter σ adjustment"

Fig.7

Bandwidth parameter h adjustment"

Fig.8

Color replacement test results. (a)Single separated color replacement; (b) Multiple separated colors replacement"

Fig.9

Segmentation algorithm comparison"

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