Acta Stereologica

0351-580X

 

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Eric Pirard & Annick Delanaye

Conditional watershed segmentation for grain boundary reconstruction

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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

To cite this 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.ulg.ac.be/0351-580x/index.php?id=644.

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