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Quantitative evaluation of color harmony via linguistic‐based image scale for interior design
Author(s) -
Shen YuChuan,
Chen YungSheng,
Hsu WenHsing
Publication year - 1996
Publication title -
color research and application
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.393
H-Index - 62
eISSN - 1520-6378
pISSN - 0361-2317
DOI - 10.1002/(sici)1520-6378(199610)21:5<353::aid-col5>3.0.co;2-x
Subject(s) - harmony (color) , hue , pleasure , perspective (graphical) , computer science , brightness , linguistics , artificial intelligence , aesthetics , psychology , natural language processing , mathematics , art , philosophy , visual arts , physics , neuroscience , optics
Abstract In order to develop a computer‐based color consultation system, a quantitative evaluation of color harmony for interior images is constructed by using a linguistic‐based image scale. Conventionally, color harmony from any engineering perspective has received limited attention, because its successful evaluation requires the development of pleasure‐related features. In this study, a new pleasure‐related function of color linguistic distribution (CLD) is proposed to quantitatively represent the mental color impression of interior images upon a designed one‐dimensional linguistic‐based image scale of EXCITING‐CALM. Supported by a database that includes fashion trends, the distribution state of CLD is capable of indicating the fashion trends in Taiwan. Also, on the image scale, the grade of color harmony can be measured by its CLD similarity to a reference harmony distribution (RHD). Evaluated results demonstrate that interior design is primarily dominated by (low) saturation and (high) brightness. Also, results based on CIE1976 L*a*b* and CIE1976 L*u*v* color spaces are observed to be better than those based on the hue‐dominated method of Moon‐Spencer theory in corresponding with human's linguistic similarity, questionnaire‐based harmony evaluation, and social trends. Moreover, our solution percentage has been investigated as 72.3%, which is better than those of the Moon‐Spencer theory and of the “Law of Inverse Ratios of Areas.” For application purposes, the proposed system is suitable to analyze the mental impression of products from the perspective of the customer. © 1996 John Wiley & Sons, Inc.