Reliability and dimensionality of judgments of visually textured materials

Abstract

Weextended perceptual studies of the Brodatz set of textured materials. Inthe experiments, texture perception for different texture sets, viewing distances, or lighting intensities was examined. Subjects compared one pair of textures at a time. The main task was to rapidly rate all of the texture pairs on a number scale for their overall dissimilarities first and then for their dissimilarities according to six specified attributes (e.g., texture contrast). The implied dimensionality of perceptual texture space was usually at least four, rather than three. All six attributes proved to be useful predictors of overall dissimilarity, especially coarseness and regularity. The novel attribute texture lightness, an assessment of mean surface reflectance, was important when viewing conditions were wide-ranging. We were impressed by the general validity of texture judgments across subject, texture set, and comfortable viewing distances or lighting intensities. The attributes are nonorthogonal directions in four-dimensional perceptual space and are probably not narrow linear axes. In a supplementary experiment, we studied a completely different task: identifying textures from a distance. The dimensionality for this more refined task is similar to that for rating judgments, so our findings may have general application.

Textural properties corresponding to visual perception based on the correlation mechanism in the visual system

“…The three orthogonal dimensions were repetitive vs. non-repetitive; high-contrast and non-directional vs. low-contrast and directional; and granular, coarse, and low-complexity vs. nongranular, fine, and high-complexity. Similar experiments conducted by Cho et al (2000) suggested that the dimensionality of perceptual texture space was at least four. They described four orthogonal attributes, namely, coarseness, regularity, contrast, and lightness.…”

Identifying a Reordering of Rows and Columns for Multiple Proximity Matrices Using Multiobjective Programming

“…For the sake of parsimony, detailed results for the Cho et al (2000) proximity data are not reported, however, the results are available upon request. It should be noted that, because of the larger object size, total enumeration of all permutations was not possible.…”

Morphological Texture Manipulation for The Evaluation of Human Visual Sensibility

“…It affects visual impressions as much as or more than aesthetic properties such as pattern design, color, and shape. Accordingly, the quantitative analysis of features of several typical textures and psychological analysis of human sensitivity to and feelings about textures have been studied [1][2][3][4][5][6][7][8][9]. In the conventional researches, textures that have a limited number of definable features were used for quantitative analysis.…”

“…Conventional methods [1][2][3][4][5][6][7][8][9] of exploring textural features also employ existing natural textures, collected from databases like [14], as target images. In addition, we propose a method of evaluating the effects of the modification of local and global textural features explicitly, contrarily to conventional methods based on Fourier transform or wavelet coefficients [5,15,16].…”