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Volume: 6 | Article ID: art00011
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Investigating human color harmony preferences using unsupervised machine learning
  DOI :  10.2352/CGIV.2012.6.1.art00011  Published OnlineJanuary 2012
Abstract

Color harmony patterns are relationships between coexisting colors where human psycho-perceptual visual pleasantness is the judging criterion. They play pivotal role in visualization, digital imaging and computer graphics. As a reference we assumed Itten model where harmony is expressed in terms of hue. The paper demonstrate investigation on color harmony patterns using clustering techniques.Our source data was Adobe Kuler database consisting of hundreds of thousands of color palettes prepared for creative purposes. For the color palettes dissimilarity measurement we propose to use Jaccard distance additionally treating colors as the elements of a fuzzy set. Then, in the next step, separate colors are grouped within each group of palettes to specify each scheme of relations. The results are schemes of relationships between color within palettes.

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Przemysław Skurowski, Michał Kozielski, "Investigating human color harmony preferences using unsupervised machine learningin Proc. IS&T CGIV 2012 6th European Conf. on Colour in Graphics, Imaging, and Vision,  2012,  pp 59 - 64,  https://doi.org/10.2352/CGIV.2012.6.1.art00011

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Copyright © Society for Imaging Science and Technology 2012
72010351
Conference on Colour in Graphics, Imaging, and Vision
conf colour graph imag vis
2158-6330
Society of Imaging Science and Technology
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