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- Volume 14 (1995)
- Number 1 - Stermat '94 - Sep. 1995
- Conditional watershed segmentation for grain boundary reconstruction
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Conditional watershed segmentation for grain boundary reconstruction
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.
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About: Eric Pirard
MICA-ULg, Université de Liège, Avenue des Tilleuls 45, 4000 Liège, Belgium
About: Annick Delanaye
MICA-ULg, Université de Liège, Avenue des Tilleuls 45, 4000 Liège, Belgium