Pattern Recognition and Image Analysis

, Volume 22, Issue 1, pp 215–220

Gabor filter and graph cut based texture analysis

Representation, Processing, Analysis and Understanding of Images
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Abstract

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.

Keywords

gabor filter the Graph cut method 

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References

  1. 1.
    J. Xie, Y. Jiang, and H. tat Tsui, “Segmentation of Kidney from Ultrasound Images Based on Texture and Shape Priors,” IEEE Trans. Med. Imag. 24, 45–57 (2005).Google Scholar
  2. 2.
    Y. Boykov and M.-P. Jolly, “Interactive Organ Segmentation Using Graph Cuts,” in Proc. 3rd Int. Conf. on Medical Image Computing and Computer-Assisted Intervention MICCAI’00 (Springer-Verlag, 2000), pp. 276–286.Google Scholar
  3. 3.
    Y. Boykov and V. Kolmogorov, “An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision,” in Proc. EMMCVPR’2001 (Sophia Antipolis, 2001), pp. 359–374.Google Scholar
  4. 4.
    Y. Y. Boykov and M. P. Jolly, “Interactive Graph Cuts for Optimal Boundary and Region Segmentation of Objects in N-D Images Computer Vision,” in Proc. 8th IEEE Int. Conf. on Computer Vision ICCV 2001 (Vancouver, 2001), Vol. 1, pp. 105–112.CrossRefGoogle Scholar
  5. 5.
    M. Šonka, V. Hlaváč, and R. Boyle, Image Processing, Analysis and Machine Vision, 3rd ed. (Thomson Learning, Toronto, 2007).Google Scholar
  6. 6.
    C. Di Ruberto, S. Vitulano, and G. Rodriguez, “Image Segmentation by Texture Analysis,” in Proc. 10th Int. Conf. on Image Analysis and Processing, ICIAP’99 (Venice, 1999), p. 376.Google Scholar

Copyright information

© Pleiades Publishing, Ltd. 2012

Authors and Affiliations

  1. 1.The University of West BohemiaPilsenCzech Republic

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