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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Vol. 16, Iss. 7 — Jul. 1, 1999
  • pp: 1566–1574

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

Alexei A. Goon and Jannick P. Rolland  »View Author Affiliations


JOSA A, Vol. 16, Issue 7, pp. 1566-1574 (1999)
http://dx.doi.org/10.1364/JOSAA.16.001566


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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.

© 1999 Optical Society of America

OCIS Codes
(100.2960) Image processing : Image analysis
(100.5010) Image processing : Pattern recognition

History
Original Manuscript: September 1, 1998
Revised Manuscript: January 28, 1999
Manuscript Accepted: January 28, 1999
Published: July 1, 1999

Citation
Alexei A. Goon and Jannick P. Rolland, "Texture classification based on comparison of second-order statistics. I. Two-point probability density function estimation and distance measure," J. Opt. Soc. Am. A 16, 1566-1574 (1999)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-16-7-1566


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