Relationship Between Visual Impressions and Image Information Parameters of Color Textures

Abstract

Color feature analysis was applied to the characterization of color textures of 24 kinds of fabrics with various colors and patterns by using CIELAB color space. Color measurements of these fabrics were done with a commercially available color scanner. X,Y,Z,L^*,a^*,b^*,C^*_ab and h_ab of CIE color system were obtained for each pixel (i,j) in the image of color textures by respective measurements and by appropriate transformation of the values. Mean values for L^*, C^*_ab and h_ab of all pixels (AVE-L^*, AVE-C^*_ab and AVE-h_ab) were obtained as color information parameters. The angular second moment (ASM), contrast (CON), correlation (COR), entropy (ENT) and fractal dimension (D) statistically extracted from distributions of L^* for each fabric, were measured as visual feature parameters. A semantic differential analysis has been made on the color texture according to following feeling scales: vivid-obscure, gaudy-quiet, striking-unnoticeable, hard-soft, strong-weak, warm-cool, heavy-light, light-dark, complex-simple, variable-invariable and homogeneous-heterogeneous. The relationship between their mean sensory values and the image information parameters was examined by the factor analysis. These results indicated that feelings from patterns related to visual feature parameters (ASM, CON, COR, ENT and D); heavy, hard and dark feelings related to AVE-L^*; vivid, gaudy, striking and strong feelings related to AVE-C^*_ab; and warm feeling related to AVE-h_ab.