Conditional watershed segmentation for grain boundary reconstruction
Eric Pirard,
MICA-ULg, Université de Liège, Avenue des Tilleuls 45, 4000 Liège, Belgium
Annick Delanaye,
MICA-ULg, Université de Liège, Avenue des Tilleuls 45, 4000 Liège, Belgium
Abstract
This paper presents a new approach of watershed extraction in binary images. After a brief reminder about segmentation tools in mathematical morphology, the method, based on the characterisation of contour’s points, is detailed. The data used are given by the calypter which is a morphological descriptor incorporating skeleton and contour informations. Then, the advantages of the method are highlighted; in particular, it is shown that the geometrical knowledge, given by the calypter, about the size and configuration of the catchment basins can bring some criteria for the segmentation decision.
Keywords : mathematical morphology, calypter, image segmentation, watershed
Pour citer cet article
Eric Pirard & Annick Delanaye, «Conditional watershed segmentation for grain boundary reconstruction», Acta Stereologica [En ligne], Volume 14 (1995), Number 1 - Stermat '94 - Sep. 1995, 23-28 URL : https://popups.uliege.be/0351-580x/index.php?id=644.