A class-adaptive spatially variant mixture model for image segmentation
- Author
- NIKOU, Christophoros1 ; GALATSANOS, Nikolaos P1 ; LIKAS, Aristidis C1
[1] Department of Computer Science, University of Ioannina, 45110 Ioannina, Greece - Source
IEEE transactions on image processing. 2007, Vol 16, Num 4, pp 1121-1130, 10 p ; ref : 36 ref
- ISSN
- 1057-7149
- Scientific domain
- Telecommunications
- Publisher
- Institute of Electrical and Electronics Engineers, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- Clustering-based image segmentation Gauss-Markov random field Gaussian mixture model expectation-maximization (EM) algorithm maximum a posteriori (MAP) estimation spatial smoothness constraints
- Keyword (fr)
- Algorithme EM Approche probabiliste Champ aléatoire Classification automatique Classification signal Estimation a posteriori Modèle Markov Processus Gauss Segmentation image Théorie mélange Traitement image Variable aléatoire
- Keyword (en)
- EM algorithm Probabilistic approach Random field Automatic classification Signal classification A posteriori estimation Markov model Gaussian process Image segmentation Mixture theory Image processing Random variable
- Keyword (es)
- Algoritmo EM Enfoque probabilista Campo aleatorio Clasificación automática Estimación a posteriori Modelo Markov Proceso Gauss Teoría mezcla Procesamiento imagen Variable aléatoria
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04A Signal, noise / 001D04A04A1 Signal representation. Spectral analysis
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A05 Signal processing / 001D04A05C Image processing
- Discipline
- Telecommunications and information theory
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 18617144
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
10.1109/TIP.2007.891771 
https://dx.doi.org/10.1109/TIP.2007.891771
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