Bayesian Fusion of Color and Texture Segmentations

  title={Bayesian Fusion of Color and Texture Segmentations},
  author={Roberto Manduchi},
In many applications one would like to use information from both color and texture features in order to segment an image. We propose a novel technique to combine "soft" segmentations computed for two or more features independently. Our algorithm merges models according to a mean entropy criterion, and allows to choose the appropriate number of classes for the final grouping. This technique also allows to improve the quality of supervised classification based on one feature (e.g. color) by… CONTINUE READING
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