CLUSTER-BASED PROBABILITY MODEL AND ITS APPLICATION TO IMAGE AND TEXTURE PROCESSING

Authors
POPAT K PICARD RW
Citation
K. Popat et Rw. Picard, CLUSTER-BASED PROBABILITY MODEL AND ITS APPLICATION TO IMAGE AND TEXTURE PROCESSING, IEEE transactions on image processing, 6(2), 1997, pp. 268-284
Citations number
37
Categorie Soggetti
Computer Sciences, Special Topics","Engineering, Eletrical & Electronic","Computer Science Software Graphycs Programming","Computer Science Theory & Methods
Journal title
IEEE transactions on image processing → ACNP
ISSN journal
10577149
Volume
6
Issue
2
Year of publication
1997
Pages
268 - 284
Database
ISI
SICI code
1057-7149(1997)6:2<268:CPMAIA>2.0.ZU;2-S
Abstract
We develop, analyze, and apply a specific form of mixture modeling for density estimation within the context of image and texture processing , The technique captures much of the higher order, nonlinear statistic al relationships present among vector elements by combining aspects of kernel estimation and cluster analysis. Experimental results are pres ented in the following applications: image restoration, image and text ure compression, and texture classification.