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Efficient image segmentation by mean shift clustering and MDL-guided region merging

Author
QIMING LUO1 ; KHOSHGOFTAAR, Taghi M1
[1] Department of Computer Science and Engineering Florida Atlantic University, Boca Raton, Florida 33431, United States
Conference title
16th IEEE international conference on tools with artificial intelligence ICTAI 2004 (Boca Raton Fl, 15-17 November 2004)
Conference name
ICTAI : international conference on tools with artificial intelligence (16 ; Boca Raton FL 2004)
Source

Proceedings - International Conference on Tools with Artificial Intelligence, TAI. 2004 ; 1Vol, pp 337-343, 7 p ; ref : 29 ref

ISSN
1082-3409
ISBN
0-7695-2236-X
Scientific domain
Computer science
Publisher
IEEE, Los Alamitos CA
Publication country
United States
Document type
Conference Paper
Language
English
Keyword (fr)
Ajustement modèle Analyse amas Analyse statistique Approche probabiliste Banc filtre Classification Guidage Image couleur Intelligence artificielle Optimisation Paramètre dispersion Principe minimum Scène naturelle Segmentation image Texture image Traitement image
Keyword (en)
Model matching Cluster analysis Statistical analysis Probabilistic approach Filter bank Classification Guidance Color image Artificial intelligence Optimization Scale parameter Minimum principle Natural scenes Image segmentation Image texture Image processing
Keyword (es)
Ajustamiento modelo Analisis cluster Análisis estadístico Enfoque probabilista Banco filtro Clasificación Guiado Imagen color Inteligencia artificial Optimización Parámetro dispersión Principio mínimo Procesamiento imagen
Classification
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
19103854

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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