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Fast Constrained Surface Extraction by Minimal Paths

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2005-34.pdf (1.241Mb)
Date
2006
Description
La version de travail s'intitule " Minimal Paths and Surface Segmentation"
Indexation documentaire
Probabilités et mathématiques appliquées
Subject
active surfaces; active contours; minimal paths; level set method; object extraction
Nom de la revue
International Journal of Computer Vision
Volume
69
Numéro
1
Date de publication
2006
Pages article
127-136
Nom de l'éditeur
Springer
DOI
http://dx.doi.org/10.1007/s11263-006-6850-z
URI
https://basepub.dauphine.fr/handle/123456789/6823
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Auteur
Ardon, Roberto
Cohen, Laurent D.
Type
Article accepté pour publication ou publié
Résumé en anglais
In this paper we consider a new approach for single object segmentation in 3D images. Our method improves the classical geodesic active surface model. It greatly simplifies the model initialization and naturally avoids local minima by incorporating user extra information into the segmentation process. The initialization procedure is reduced to introducing 3D curves into the image. These curves are supposed to belong to the surface to extract and thus, also constitute user given information. Hence, our model finds a surface that has these curves as boundary conditions and that minimizes the integral of a potential function that corresponds to the image features. Our goal is achieved by using globally minimal paths. We approximate the surface to extract by a discrete network of paths. Furthermore, an interpolation method is used to build a mesh or an implicit representation based on the information retrieved from the network of paths. Our paper describes a fast construction obtained by exploiting the Fast Marching algorithm and a fast analytical interpolation method. Moreover, a Level set method can be used to refine the segmentation when higher accuracy is required. The algorithm has been successfully applied to 3D medical images and synthetic images.

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