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http://dx.doi.org/10.5302/J.ICROS.2006.12.2.119

Machine's Determination of Main Color and Imbalance in a Drawing for Art Psychotherapy  

Bae Jun (고려대학교 산업시스템정보공학과)
Kim Jae Min (고려대학교 산업시스템정보공학과)
Kim Seong-in (고려대학교 산업시스템정보공학과)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.12, no.2, 2006 , pp. 119-129 More about this Journal
Abstract
Art psychotherapy is widely accepted as an effective tool for diagnosis and treatment of psychological disorders. Important factors for art psychotherapy diagnosis, based on the projection theory that the world of the inner mind appears in drawings, include main color and imbalance of a drawing. This paper develops a system for a machine to determine the main color and the imbalance of a drawing by color recognition and edge detection. Our proposed color recognition procedure adopts NBS(National Bureau of Standards) distance between colors in HVC(Hue, Value, Chroma) color space which is most similar to the human eye's color perception. Our edge detection procedure applies blurring, clustering and transformation to a standard color in a series. Our system considers the numbers of pixels and clusters for each color as a criterion for main color and the frequency of edge coordinates for each region for imbalance. The proposed machine procedure, verified through case studies, can help overcome the subjectivity, ambiguity and uncertainty in human decision involved in art psychotherapy.
Keywords
art psychotherapy; imbalance; color recognition; edge detection; color space; clustering; machine's decision;
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