A new continuous max-flow algorithm for multiphase image segmentation using super-level set functions
- Author
- JUN LIU1 ; TAI, Xue-Cheng2 ; SHINGYU LEUNG3 ; HAIYANG HUANG1
[1] School of Mathematical Sciences, Beijing Normal University, Laboratory of Mathematics and Complex Systems, Ministry Education, Beijing 100875, China
[2] Department of Mathematics, University of Bergen, Johaness Brunsgate 12, 5007 Bergen, Norway
[3] Department of Mathematics, Hong Kong University of Science and Technology, Clear Water Bay, Hong-Kong - Source
Journal of visual communication and image representation (Print). 2014, Vol 25, Num 6, pp 1472-1488, 17 p ; ref : 41 ref
- ISSN
- 1047-3203
- Scientific domain
- Computer science
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Augmented Lagrangian method Continuous max-flow Convex relaxation Global minimization Graph cut Image segmentation Potts model Super-level set functions
- Keyword (fr)
- Analyse convexe Compétitivité Coupe graphe Courbe niveau Flot réseau Fonction partition Lagrangien augmenté Minimisation Modèle Potts Modélisation Mécanique statistique Méthode Lagrange Méthode graphe Méthode relaxation Résultat expérimental Solution exacte Solution globale Théorie graphe Traitement image Segmentation image
- Keyword (en)
- Convex analysis Competitiveness Graph cut Contour line Network flow Partition function Augmented Lagrangian Minimization Potts model Modeling Statistical mechanics Lagrangian method Graph method Relaxation method Experimental result Exact solution Global solution Graph theory Image processing Image segmentation
- Keyword (es)
- Análisis convexo Competitividad Corte grafo Curva nivel Flujo red Función partición Lagrangiano aumentado Minimización Modelo Potts Modelización Mecánica estadística Método Lagrange Método grafo Método relajación Resultado experimental Solución exacta Solución global Teoría grafo Procesamiento imagen Segmentación de imágenes
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02A Theoretical computing / 001D02A05 Algorithmics. Computability. Computer arithmetics
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02A Theoretical computing / 001D02A06 Information retrieval. Graph
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C03 Pattern recognition. Digital image processing. Computational geometry
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28722152
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
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DOI
10.1016/j.jvcir.2014.04.011 
https://dx.doi.org/10.1016/j.jvcir.2014.04.011
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