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Article Dans Une Revue Annals of British Machine Vision Association Année : 2013

Statistical region based active contour using a fractional entropy descriptor: Application to nuclei cell segmentation in confocal microscopy images

Résumé

We propose an unsupervised statistical region based active contour approach integrating an original fractional entropy measure for image segmentation with a particular application to single channel actin tagged fluorescence confocal microscopy image segmentation. Following description of statistical based active contour segmentation and the mathematical definition of the proposed fractional entropy descriptor, we demonstrate comparative segmentation results between the proposed approach and standard Shannon's entropy on synthetic and natural images. We also show that the proposed unsupervised statistical based approach, integrating the fractional entropy measure, leads to very satisfactory segmentation of the cell nuclei from which shape characterization can be calculated.
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Dates et versions

hal-00817583 , version 1 (24-04-2013)

Identifiants

  • HAL Id : hal-00817583 , version 1

Citer

Aymeric Histace, Leila Meziou, Bogdan Matuszewski, Frédéric Precioso, Mark Murphy, et al.. Statistical region based active contour using a fractional entropy descriptor: Application to nuclei cell segmentation in confocal microscopy images. Annals of British Machine Vision Association, 2013, 2013 (5), pp.1-15. ⟨hal-00817583⟩
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