First Results for 3D Image Segmentation with Topological Map

Titre	First Results for 3D Image Segmentation with Topological Map
Type de publication	Book Chapter
Nouvelles publications	2008
Auteurs	Dupas, Alexandre, and Guillaume Damiand
éditer	Coeurjolly, David, Isabelle Sivignon, Laure Tougne, and Florent Dupont
Titre	Discrete Geometry for Computer Imagery
Series Title	Lecture Notes in Computer Science
Pagination	507 - 518
Année de publication	Springer Berlin Heidelberg
Numéro	978-3-540-79125-6, 978-3-540-79126-3
Mots clés	3D Image segmentation, Algorithm Analysis and Problem Complexity, Combinatorial maps, Computer Graphics, Discrete Mathematics in Computer Science, Image Processing and Computer Vision, Intervoxel boundaries, Pattern Recognition, Simulation and Modeling, Topological model
Résumé	This paper presents the first segmentation operation defined within the 3D topological map framework. Firstly we show how a traditional segmentation algorithm, found in the literature, can be transposed on a 3D image represented by a topological map. We show the consistency of the results despite of the modifications made to the segmentation algorithm and we study the complexity of the operation. Lastly, we present some experimental results made on 3D medical images. These results show the process duration of this method and validate the interest to use 3D topological map in the context of image processing.
URL	http://link.springer.com/chapter/10.1007/978-3-540-79126-3_45