Back to articles
Articles
Volume: 27 | Article ID: art00009
Image
Appearance perception of textiles: a tactile and visual texture study
  DOI :  10.2352/issn.2169-2629.2019.27.9  Published OnlineOctober 2019
Abstract

Texture analysis and characterization based on human perception has been continuously sought after by psychology and computer vision researchers. However, the fundamental question of how humans truly perceive texture still remains. In the present study, using a series of textile samples, the most important perceptual attributes people use to interpret and evaluate the texture properties of textiles were accumulated through the verbal description of texture by a group of participants. Smooth, soft, homogeneous, geometric variation, random, repeating, regular, color variation, strong, and complicated were ten of the most frequently used words by participants to describe texture. Since the participants were allowed to freely interact with the textiles, the accumulated texture properties are most likely a combination of visual and tactile information. Each individual texture attribute was rated by another group of participants via rank ordering. Analyzing the correlations between various texture attributes showed strong positive and negative correlations between some of the attributes. Principal component analysis on the rank ordering data indicated that there is a clear separation of perceptual texture attributes in terms of homogeneity and regularity on one hand, and non-homogeneity and randomness on the other hand.

Subject Areas :
Views 48
Downloads 14
 articleview.views 48
 articleview.downloads 14
  Cite this article 

Fereshteh Mirjalili, Jon Yngve Hardeberg, "Appearance perception of textiles: a tactile and visual texture studyin Proc. IS&T 27th Color and Imaging Conf.,  2019,  pp 43 - 48,  https://doi.org/10.2352/issn.2169-2629.2019.27.9

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2019
72010350
Color and Imaging Conference
color imaging conf
2166-9635
Society for Imaging Science and Technology