JOURNAL OF MULTIMEDIA (JMM)
ISSN : 1796-2048
Volume : 2    Issue : 3    Date : June 2007

Evidential Segmentation of Microscopic Color Images with Pixel Classification Posterior
Probabilities
Christophe Charrier, Gilles Lebrun, and Olivier lezoray
Page(s): 57-65
Full Text:
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Abstract
A tool for diagnosis assistance by automatic segmentation of microscopic cellular images is
introduced. This method is based on an automatic segmentation technique combining (with the
Dempster-Shafer rule) the results obtained by Support Vector Machines (SVM) applied within
different color spaces. This combination is performed by integrating uncertainties and
redundancies for each color space. Those uncertainties are computed as a posteriori probabilities
according to the SVM obtained results. An improvement of the final segmentation quality is
performed by taking into account the inconsistencies of several pixel classifications.

Index Terms
Segmentation, microscopic cellular images, Classification, Dempster-Shafer combination, SVM