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Color and/or texture segmentation using deterministic relaxation and fast marching algorithms

Spyros Liapis, Eftychios Sifakis, Georgios Tziritas
Intl. Conference on Pattern Recognition — 2000
    Download the publication : texture_2000_icpr.pdf [95Ko]  
    The segmentation of colored texture images is considered. Either luminance, color, and/or texture features could be used for segmentation. For luminance and color the classes are described using the corresponding empirical probability distributions. The Discrete Wavelet Frames analysis is used for obtaining features of texture patterns. At a first stage, pattern analysis is performed for extracting the features using the Bhattacharya distance. Two labeling algorithms are proposed. A deterministic relaxation algorithmusing a likelihoodbased distance yields the labeling of pixels to the different color-texture patterns. In addition, a new multi-label fast marching level set algorithmis utilized for the determination of the segment boundaries.

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    BibTex references

    @InProceedings{LST00,
      author       = "Liapis, Spyros and Sifakis, Eftychios and Tziritas, Georgios",
      title        = "Color and/or texture segmentation using deterministic relaxation and fast marching algorithms",
      booktitle    = "Intl. Conference on Pattern Recognition",
      year         = "2000",
      url          = "http://graphics.cs.wisc.edu/Papers/2000/LST00"
    }
    
     

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