Smooth contour coding with minimal description length active grid segmentation techniques |
| |
Authors: | Fré dé ric Galland,David Savé ry |
| |
Affiliation: | a Institut Fresnel, CNRS, Aix-Marseille Université, Ecole Centrale Marseille, Campus de Saint Jérôme, 13013 Marseille, France b SuperSonic Imagine, 510 rue René Descartes, Les Jardins de la Duranne Bât E, 13857 Aix-en-Provence, France |
| |
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. |
| |
Keywords: | Image segmentation Statistical image processing Minimum description length (MDL) Stochastic complexity |
本文献已被 ScienceDirect 等数据库收录! |
|