Three-dimensional color prediction modeling of single- and double-layered woven fabrics

Youngjoo Chae, Tao Hua, John Haozhong Xin

Research output: Journal article publicationJournal articleAcademic researchpeer-review

9 Citations (Scopus)

Abstract

In this research, the three-dimensional structural and colorimetric modeling of three-dimensional woven fabrics was conducted for accurate color predictions. One-hundred forty single- and double-layered woven samples in a wide range of colors were produced. With the consideration of their three-dimensional structural parameters, three-dimensional color prediction models, K/S-, R-, and L*a*b*-based models, were developed through the optimization of previous two-dimensional models which have been reported to be the three most accurate models for single-layered woven structures. The accuracy of the new three-dimensional models was evaluated by calculating the color differences ΔL*, ΔC*, Δh°, and ΔECMC(2:1)between the measured and the predicted colors of the samples, and then the error values were compared to those of the two-dimensional models. As a result, there has been an overall improvement in color predictions of all models with a decrease in ΔECMC(2:1)from 10.30 to 5.25 units on average after the three-dimensional modeling.
Original languageEnglish
Pages (from-to)130-141
Number of pages12
JournalColor Research and Application
Volume43
Issue number1
DOIs
Publication statusPublished - 1 Feb 2018

Keywords

  • color prediction
  • color prediction model
  • double-layered fabric
  • single-layered fabric
  • three-dimensional modeling

ASJC Scopus subject areas

  • Human Factors and Ergonomics
  • Chemistry(all)
  • Chemical Engineering(all)

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