Multiple objects detection in biological images using a marked point process framework

Xavier Descombes 1
1 MORPHEME - Morphologie et Images
CRISAM - Inria Sophia Antipolis - Méditerranée , IBV - Institut de Biologie Valrose : U1091, Laboratoire I3S - SIS - Signal, Images et Systèmes
Abstract : The marked point process framework has been successfully developed in the field of image analysis to detect a configuration of predefined objects. The goal of this paper is to show how it can be particularly applied to biological imagery. We present a simple model that shows how some of the challenges specific to biological data are well addressed by the methodology. We further describe an extension to this first model to address other challenges due, for example, to the shape variability in biological material. We finally show results that illustrate the MPP framework using the " simcep " algorithm for simulating populations of cells.
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https://hal.inria.fr/hal-01383165
Contributor : Xavier Descombes <>
Submitted on : Tuesday, October 18, 2016 - 11:00:15 AM
Last modification on : Monday, November 5, 2018 - 3:52:02 PM

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Xavier Descombes. Multiple objects detection in biological images using a marked point process framework. Methods, Elsevier, 2016, ⟨10.1016/j.ymeth.2016.09.009⟩. ⟨hal-01383165⟩

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