Abstract
The objective of this study was to investigate whether color variables, such as CIE values and hue/tone categories, and mechanical properties influence the visual texture of fabric, and to establish prediction models for the visual texture based on both mechanical properties and color variables. A digital textile printing system was used to color six different silk and cotton fabrics. The chromatic shade value for each color was identified using a <TEX>$3{\times}3$</TEX> matrix of hue (red, yellow, and green) or tone (pale, vivid, and grayish), with gray as the neutral value. Mechanical properties of the fabric samples were measured using a Kawabata Evaluation System. Subjective perception of visual texture by human evaluators was obtained using modified magnitude estimation. The mechanical properties of the fabric samples were found to be the primary influence on variations in sensory descriptors of the visual texture. Furthermore, results showed that, while the visual texture was strongly dependent on the tones, chromatic shade, and gray, it was hardly affected by hue. Finally, these results were used to develop prediction models for visual texture based on both mechanical properties and color variables.
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