Smooth contour coding with minimal description length active grid segmentation techniques

Authors:
Frédéric Galland;Arnaud Jaegler;Marc Allain;David Savéry;Philippe Réfrégier
Affiliations:
Institut Fresnel, CNRS, Aix-Marseille Université, Ecole Centrale Marseille, Campus de Saint Jérôme, 13013 Marseille, France;Institut Fresnel, CNRS, Aix-Marseille Université, Ecole Centrale Marseille, Campus de Saint Jérôme, 13013 Marseille, France;Institut Fresnel, CNRS, Aix-Marseille Université, Ecole Centrale Marseille, Campus de Saint Jérôme, 13013 Marseille, France;SuperSonic Imagine, 510 rue René Descartes, Les Jardins de la Duranne Bít E, 13857 Aix-en-Provence, France;Institut Fresnel, CNRS, Aix-Marseille Université, Ecole Centrale Marseille, Campus de Saint Jérôme, 13013 Marseille, France
Venue:
Pattern Recognition Letters
Year:
2011

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Abstract

We analyze the influence of the contour coding term in segmentation techniques based on active grids and on the minimum description length (MDL) principle. These segmentation techniques have been developed up to now with a contour coding term adapted to polygonal objects. However, this approach can lead to degraded segmentation results for smooth contours of objects which can be observed for example in geoscience, medicine or microscopy. We demonstrate that an appropriate choice of the contour coding term can improve segmentation results with MDL active grid approaches in the presence of regions with smooth boundaries. This improvement opens a large class of application domains and still allows one to obtain low computational time.