Table of Contents
ISRN Machine Vision
Volume 2013 (2013), Article ID 876386, 14 pages
http://dx.doi.org/10.1155/2013/876386
Research Article

New Brodatz-Based Image Databases for Grayscale Color and Multiband Texture Analysis

Centre for Research and Applications in Remote Sensing (CARTEL), Department of Geomatics, Sherbrooke University, QC, Canada J1K 2R1

Received 26 November 2012; Accepted 14 January 2013

Academic Editors: A. Nikolaidis and R. Schettini

Copyright © 2013 Safia Abdelmounaime and He Dong-Chen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Grayscale and color textures can have spectral informative content. This spectral information coexists with the grayscale or chromatic spatial pattern that characterizes the texture. This informative and nontextural spectral content can be a source of confusion for rigorous evaluations of the intrinsic textural performance of texture methods. In this paper, we used basic image processing tools to develop a new class of textures in which texture information is the only source of discrimination. Spectral information in this new class of textures contributes only to form texture. The textures are grouped into two databases. The first is the Normalized Brodatz Texture database (NBT) which is a collection of grayscale images. The second is the Multiband Texture (MBT) database which is a collection of color texture images. Thus, this new class of textures is ideal for rigorous comparisons between texture analysis methods based only on their intrinsic performance on texture characterization.