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An Efficient Combination of Texture and Color Information for Watershed Segmentation

  • Cyril Meurie
  • Andrea Cohen
  • Yassine Ruichek
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6134)

Abstract

A new segmentation technique based on a color watershed using an adaptive combination of color and texture information is proposed on this paper. This information is represented by two morphological gradients, a classical color gradient and a texture gradient based on co-occurrence matrices texture features. The two morphological gradients are then mixed using a gradient component fusion strategy and an adaptive technique to choose the weighting coefficients. The segmentation process is finally performed by applying the watershed algorithm. The obtained results are then evaluated with the MSE for several sets of parameters and color spaces.

Keywords

image segmentation adaptive combination color texture mathematical morphology co-occurrence matrices 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Cyril Meurie
    • 1
  • Andrea Cohen
    • 1
  • Yassine Ruichek
    • 1
  1. 1.Systems and Transportation LaboratoryUniversity of Technology of Belfort-MontbliardBelfortFrance

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