RGB色空間を用いた色彩テクスチャのカラーイメージと視覚的特徴の関係

概要

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Color feature analysis by using RGB color space was applied to the characterization of color textures of 15 kinds of fabrics including color and form information. The average (AVE), variance (VAR), angular second moment (ASM), contrast (CON), correlation (COR), entropy (ENT) and fractal dimension (D) statistically extracted from brightness distributions of RGB color images for fabrics, which were captured from a color scanner, were measured as visual feature parameters. The vivid-obscure, gaudy-plain, striking-subdued, dynamic-passive, distinct-vague, transparent-turbid, soft-hard, strong-weak, warm-cool, light-heavy and bright-dark feelings of color textures were evaluated using a sensory evaluation method by which either word was selected, and the relationship between their sensory evaluation values and the visual feature parameters was examined by factor analysis, which showed that dynamic feeling is related to VAR and COR, and light, strong, soft and bright feelings to AVE.
2008-06-15