Segmentation of Complex Images Based on Component-Trees: Methodological Tools

Authors:
Benoît Caldairou;Benoît Naegel;Nicolas Passat
Affiliations:
Université de Strasbourg, LSIIT, UMR CNRS, France 7005 and Université de Strasbourg, LINC, UMR CNRS, France 7191 and École Supérieure Chimie Physique Électronique de Lyon, ...;Université Nancy 1, LORIA, UMR CNRS, France 7503;Université de Strasbourg, LSIIT, UMR CNRS, France 7005
Venue:
ISMM '09 Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing
Year:
2009

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Abstract

Component-trees can be used for the design of image processing methods, and in particular segmentation ones. However, despite their ability to consider various kinds of knowledge and their tractable computation, methodological deadlocks often forbid to efficiently involve them in real applications. In this article, we explore new solutions to some of these deadlocks, and more especially those related to (i ) complexity of the structures of interest and (ii ) multiple knowledge handling. The usefulness of the proposed strategies is illustrated by preliminary results related to vessel segmentation from 3-D angiographic data.