A Texture Descriptor for Image Retrieval and Browsing
 

P. Wu, B. S. Manjunanth, S. D. Newsam, and H. D. Shin *
Department of Electrical and Computer Engineering
University of California, Santa Barbara, CA 93106-9560
*Samsung Electronics Co.
{peng, manj, snewsam, hdsin}@iplab.ece.ucsb.edu

Abstract

Image texture is an important visual primitive in
image search and retrieval applications. To characterize
texture information of images, a texture descriptor is
proposed to capture both the perceptual information and
the statistics of textures. The descriptor consists of two
parts: a Perceptual Browsing Component (PBC) and a
Similarity Retrieval Component (SRC). The emphasis of
this paper is to introduce the extraction method for the
PBC which is based on multidimensional decomposition
of images using Gabor filters. By analyzing the one
dimensional projections resulting from filtered images,
PCB gives a quantitative measure about the
structuredness of textures and also identifies the
directionality and coarseness (scale). Our experimental
results demonstrate that PBC can capture these texture
properties quite well.