Title

Texture classification based on comparison of second-order statistics. I. Two-point probability density function estimation and distance measure

Authors

Authors

A. A. Goon;J. P. Rolland

Comments

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Abbreviated Journal Title

J. Opt. Soc. Am. A-Opt. Image Sci. Vis.

Keywords

IMAGES; TISSUE; NOISE; Optics

Abstract

The two-point probability density function (2P-PDF) gives a full description of the first- and second-order statistics of a random process. We propose a framework. for texture classification based on a distance measure between 2P-PDF's after equalization of first-order statistics. This framework allows extraction of the structural information of the process independently of the dynamic range of the image. We present; two methods for estimating the 2P-PDF of texture images, and we establish some criteria for efficient computation. The theoretical framework for noise-free texture images is validated with four texture ensembles. (C) 1999 Optical Society of America [S0740-3232(99)00807-8].

Journal Title

Journal of the Optical Society of America a-Optics Image Science and Vision

Volume

16

Issue/Number

7

Publication Date

1-1-1999

Document Type

Article

Language

English

First Page

1566

Last Page

1574

WOS Identifier

WOS:000081223300006

ISSN

0740-3232

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