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Volume: 2 | Article ID: art00036
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An unsupervised color image segmentation based on morphological 2D clustering and fusion
  DOI :  10.2352/CGIV.2004.2.1.art00036  Published OnlineJanuary 2004
Abstract

A segmentation method for color images is presented in this work. A morphological unsupervised 2D multiband histogram clustering provides an initial coarse segmntation of the image. Region information is then used and a novel technique is introduced to simplify the Region Adjacency Graph by merging candidate regions until the stabilization of a segmentation criterion. Merged regions are refined by a color watershed. The whole method requires the definition of only one single parameter which acts as a kind of multiscale parameter.

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O. Lezoray, "An unsupervised color image segmentation based on morphological 2D clustering and fusionin Proc. IS&T CGIV 2004 Second European Conf. on Colour in Graphics, Imaging, and Vision,  2004,  pp 173 - 177,  https://doi.org/10.2352/CGIV.2004.2.1.art00036

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Copyright © Society for Imaging Science and Technology 2004
72010351
Conference on Colour in Graphics, Imaging, and Vision
conf colour graph imag vis
2158-6330
Society of Imaging Science and Technology
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