Color and Texture Analysis of Textiles Using Image Acquisition and Spectral Analysis in Calibrated Sphere Imaging System-II

Nibedita Rout, Jinlian Hu, George Baciu, Priyabrata Pattanaik, K. Nakkeeran * (Corresponding Author), Asimananda Khandual * (Corresponding Author)

*Corresponding author for this work

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The extended applications of device-dependent systems' vision are exponentially grow-ing, but they face challenges in imitating precisely the human perception models established by device-independent systems of Commission internationale de l'éclairage (CIE). We previously dis-cussed the theoretical treatment and experimental validation of developing a calibrated integrated sphere imaging system to imitate the visible spectroscopy environment. The RGB polynomial func-tion was derived to get a meaningful interpretation of color features. In this study, we dyed three different types of textured materials in the same bath with a yellow reactive dye at incremental concentrations to see how their color difference profiles tested. Three typical cotton textures were dyed with three ultra-RGB remozol reactive dyes and their combinations. The color concentration ranges of 1%, 2%, 3%, and 4% were chosen for each dye, followed by their binary and ternary mix-tures. The aim was to verify the fundamental spectral feature mapping in various imaging color spaces and spectral domains. The findings are quite interesting to understand the ground truth be-hind working in two domains. Besides, the trends of color mixing, CIE color difference, CIExy (chro-maticity) color gamut, and RGB gamut and their distinguishing features have been verified. Human perception accuracy was also compared in both domains for the clarity of texture influence. These fundamental experiments and observations on human perception and calibrated imaging color space could clarify the expected precision in both domains.
Original languageEnglish
Article number2135
Number of pages17
JournalElectronics (Switzerland)
Issue number9
Early online date6 May 2023
Publication statusPublished - 6 May 2023

Bibliographical note

Acknowledgments: We are thankful to for the support from new fiber science and IoT Lab, OUTR sponsored by TEQIP-3 seed money and MODROB (/9- 34/RIFDMO DPOLICY- 1/2018-19)


  • computer vision
  • integrating sphereimaging
  • CIE color space
  • CIExy
  • Color Characterization
  • Color Difference
  • Color gamut


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