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Analysis and evaluation of color perception

Analysis and evaluation of color perception Purpose – The research documented in this paper aims to identify the components and characters of color perception and to establish the basis for color perception description and evaluation. Design/methodology/approach – Ten pairs of antonyms obtained on the basis of investigation were suggested to evaluate the perception of color. About 15 color samples were prepared for subjective evaluation. The factorial analysis method and artificial neural network were applied to analyze the evaluation results given by professionals and to establish the objective basis for color perception evaluation. Findings – The color perceptions could be distinguished by word pairs. These word pairs were grouped according to the perception characteristics. The relation between color parameters and color perception could be established by artificial neural network technique. Research limitations/implications – The results showed in this paper were obtained on the limited number of samples. Originality/value – The principle of color perception was investigated on the subjective evaluation of color samples. The relation between color parameters and color perception was established and could be applied for reference of clothing color design. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Clothing Science and Technology Emerald Publishing

Analysis and evaluation of color perception

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Publisher
Emerald Publishing
Copyright
Copyright © 2008 Emerald Group Publishing Limited. All rights reserved.
ISSN
0955-6222
DOI
10.1108/09556220810865238
Publisher site
See Article on Publisher Site

Abstract

Purpose – The research documented in this paper aims to identify the components and characters of color perception and to establish the basis for color perception description and evaluation. Design/methodology/approach – Ten pairs of antonyms obtained on the basis of investigation were suggested to evaluate the perception of color. About 15 color samples were prepared for subjective evaluation. The factorial analysis method and artificial neural network were applied to analyze the evaluation results given by professionals and to establish the objective basis for color perception evaluation. Findings – The color perceptions could be distinguished by word pairs. These word pairs were grouped according to the perception characteristics. The relation between color parameters and color perception could be established by artificial neural network technique. Research limitations/implications – The results showed in this paper were obtained on the limited number of samples. Originality/value – The principle of color perception was investigated on the subjective evaluation of color samples. The relation between color parameters and color perception was established and could be applied for reference of clothing color design.

Journal

International Journal of Clothing Science and TechnologyEmerald Publishing

Published: May 9, 2008

Keywords: Colour; Neural nets; Sensory perception

References