Treffer: Topological map based algorithms for 3D image segmentation
Title:
Topological map based algorithms for 3D image segmentation
Authors:
Source:
DGCI 2002 : Discrete geometry for computer imagery (Bordeaux, 3-5 April 2002)Lecture notes in computer science. :220-231
Publisher Information:
Berlin: Springer, 2002.
Publication Year:
2002
Physical Description:
print, 19 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Image tridimensionnelle, Tridimensional image, Imagen tridimensional, Modèle 3 dimensions, Three dimensional model, Modelo 3 dimensiones, Méthode combinatoire, Combinatorial method, Método combinatorio, Représentation image, Image representation, Segmentation image, Image segmentation, Traitement image, Image processing, Procesamiento imagen
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
LIRMM, 161 rue Ada, 34392 Montpellier, France
ISSN:
0302-9743
Rights:
Copyright 2002 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.14052862
Database:
PASCAL Archive
Weitere Informationen
One of the most commonly used approach to segment a 2D image is the split and merge approach. In this paper, we are defining these two operations in 3D within the topological maps framework. This mathematic model of regions segmented image representation allows us to define these algorithms in a local and generic way. Moreover, we are defining a new operation, the corefining, which allows to treat big images. They are cut into small units, treated separately, then the result of each of them are combined to reconstruct the final representation. These three operations let us view efficient 3D segmentation algorithms, which is a difficult problem due to the size of data to treat.