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  • Research Article
  • Open Access

Multichannel Texture Segmentation Using Bamberger Pyramids

EURASIP Journal on Image and Video Processing20092009:539713

  • Received: 6 November 2008
  • Accepted: 5 August 2009
  • Published:


A multichannel texture segmentation algorithm is presented based on the image pyramids produced with the Bamberger directional filter bank. An extensive evaluation of Bamberger pyramids and their design parameters is presented. The impact on segmentation performance of factors like the number of pyramid levels, number of directional channels, redundancy and filter specifications is considered. The proposed system is shown to provide some of the best results reported to date when compared with other multichannel representations under similar evaluation conditions. It is further shown that segmentation results using the maximally decimated directional filter bank rival those of the undecimated case. To the knowledge of the authors, such performance has not been previously observed for decompositions with decimated channels.


  • Pattern Recognition
  • Computer Vision
  • Pyramid
  • Design Parameter
  • Evaluation Condition

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Authors’ Affiliations

Electrical and Computer Engineering Department, The University of Texas at El Paso, 500 W. University Avenue, El Paso, TX 79968-0523, USA
Electrical and Computer Engineering Department, Purdue University, Electrical Engineering Building, 465 Northwestern Avenue, West Lafayette, IN 47907-2035, USA


© J. G. Rosiles and M. J. T. Smith. 2009

This article is published under license to BioMed Central Ltd. 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.