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Journal of the Optical Society of America A

Journal of the Optical Society of America A


  • Editor: Franco Gori
  • Vol. 30, Iss. 8 — Aug. 1, 2013
  • pp: 1580–1591

Texture classification using discrete Tchebichef moments

J. Víctor Marcos and Gabriel Cristóbal  »View Author Affiliations

JOSA A, Vol. 30, Issue 8, pp. 1580-1591 (2013)

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In this paper, a method to characterize texture images based on discrete Tchebichef moments is presented. A global signature vector is derived from the moment matrix by taking into account both the magnitudes of the moments and their order. The performance of our method in several texture classification problems was compared with that achieved through other standard approaches. These include Haralick’s gray-level co-occurrence matrices, Gabor filters, and local binary patterns. An extensive texture classification study was carried out by selecting images with different contents from the Brodatz, Outex, and VisTex databases. The results show that the proposed method is able to capture the essential information about texture, showing comparable or even higher performance than conventional procedures. Thus, it can be considered as an effective and competitive technique for texture characterization.

© 2013 Optical Society of America

OCIS Codes
(100.2000) Image processing : Digital image processing
(100.5010) Image processing : Pattern recognition
(150.1135) Machine vision : Algorithms

ToC Category:
Image Processing

Original Manuscript: January 30, 2013
Revised Manuscript: June 5, 2013
Manuscript Accepted: June 7, 2013
Published: July 17, 2013

J. Víctor Marcos and Gabriel Cristóbal, "Texture classification using discrete Tchebichef moments," J. Opt. Soc. Am. A 30, 1580-1591 (2013)

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