Filters, Random fields and Maximum entropy (FRAME) : Towards a unified theory for texture modeling
- Auteur
- SONG CHUN ZHU1 ; YINGNIAN WU2 ; MUMFORD, D3
[1] Department of Computer Science, Stanford University, Stanford, CA 94305, United States
[2] Department of Statistics, University of Michigan, Ann Arbor, MI 48109, United States
[3] Division of Applied Math, Brown University, Providence, RI 02912, United States - Source
International journal of computer vision. 1998, Vol 27, Num 2, pp 107-126 ; ref : 36 ref
- ISSN
- 0920-5691
- Domaine scientifique
- Computer science
- Editeur
- Springer, Heidelberg
- Pays de publication
- Germany
- Type de document
- Article
- Langue
- English
- Mot clé (fr)
- Algorithme Analyse texture Apprentissage Chaîne Markov Entropie Etude expérimentale Extraction forme Filtrage Modélisation Performance algorithme Traitement image
- Mot clé (en)
- Algorithm Texture analysis Learning Markov chain Entropy Experimental study Pattern extraction Filtering Modeling Algorithm performance Image processing
- Mot clé (es)
- Algoritmo Análisis textura Aprendizaje Cadena Markov Entropía Estudio experimental Extracción forma Filtrado Modelización Resultado algoritmo Procesamiento imagen
- Classification
- Pascal
- 001 Sciences exactes et technologie / 001D Sciences appliquees / 001D02 Informatique; automatique theorique; systemes / 001D02A Informatique théorique / 001D02A05 Algorithmique. Calculabilité. Arithmétique ordinateur
- Pascal
- 001 Sciences exactes et technologie / 001D Sciences appliquees / 001D02 Informatique; automatique theorique; systemes / 001D02C Intelligence artificielle / 001D02C03 Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique
- Discipline
- Computer science : theoretical automation and systems
- Provenance
- Inist-CNRS
- Base de données
- PASCAL
- Identifiant INIST
- 2232025
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
10.1023/A:1007925832420 
https://dx.doi.org/10.1023/A:1007925832420
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