Pattern Recognition and Image Analysis

, Volume 22, Issue 1, pp 215–220 | Cite as

Gabor filter and graph cut based texture analysis

  • M. JiříkEmail author
  • T. Ryba
  • M. Železný
Representation, Processing, Analysis and Understanding of Images


This paper describes a method for texture based segmentation. Texture features are extracted by applying a bank of Gabor filters using two-sided convolution strategy. Probability texture model is represented by Gaussian mixture that is trained with the Expectation-maximization algorithm. Texture similarity, obtained this way, is used like the input of a Graph cut method. We show that the combination of texture analysis and the Graph cut method produce good results.


gabor filter the Graph cut method 


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Copyright information

© Pleiades Publishing, Ltd. 2012

Authors and Affiliations

  1. 1.The University of West BohemiaPilsenCzech Republic

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