An efficient combination of texture and color information for watershed segmentation

Authors:
Cyril Meurie;Andrea Cohen;Yassine Ruichek
Affiliations:
Systems and Transportation Laboratory, University of Technology of Belfort-Montbliard, Belfort, France;Systems and Transportation Laboratory, University of Technology of Belfort-Montbliard, Belfort, France;Systems and Transportation Laboratory, University of Technology of Belfort-Montbliard, Belfort, France
Venue:
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
Year:
2010

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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.