Share Email Print

Proceedings Paper

A subjective study and an objective metric to quantify the granularity level of textures
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Texture granularity is an important visual characteristic that is useful in a variety of applications, including analysis, recognition, and compression, to name a few. A texture granularity measure can be used to quantify the perceived level of texture granularity. The granularity level of the textures is influenced by the size of the texture primitives. A primitive is defined as the smallest recognizable repetitive object in the texture. If the texture has large primitives then the perceived granularity level tends to be lower as compared to a texture with smaller primitives. In this work we are presenting a texture granularity database referred as GranTEX which consists of 30 textures with varying levels of primitive sizes and granularity levels. The GranTEX database consists of both natural and man-made textures. A subjective study is conducted to measure the perceived granularity level of textures present in the GranTEX database. An objective metric that automatically measures the perceived granularity level of textures is also presented as part of this work. It is shown that the proposed granularity metric correlates well with the subjective granularity scores.

Paper Details

Date Published: 17 March 2015
PDF: 8 pages
Proc. SPIE 9394, Human Vision and Electronic Imaging XX, 93940G (17 March 2015); doi: 10.1117/12.2084501
Show Author Affiliations
Mahesh M. Subedar, Arizona State Univ. (United States)
Intel Corp. (United States)
Lina J. Karam, Arizona State Univ. (United States)

Published in SPIE Proceedings Vol. 9394:
Human Vision and Electronic Imaging XX
Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Huib de Ridder, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?