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ICIP
2005
IEEE
14 years 6 months ago
An automatic segmentation of color images by using a combination of mixture modelling and adaptive region information: a level s
In this paper, we propose a novel automatic framework for variational color image segmentation based on unifying adaptive region information and mixture modelling. We consider a f...
Mohand Saïd Allili, Djemel Ziou
ICIP
2009
IEEE
14 years 5 months ago
Illumination Invariant Unsupervised Segmenter
A novel illumination invariant unsupervised multispectral texture segmentation method with unknown number of classes is presented. Multispectral texture mosaics are locally repres...
TIP
2002
179views more  TIP 2002»
13 years 4 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
ICPR
2008
IEEE
13 years 11 months ago
Unsupervised mammograms segmentation
We present a multiscale unsupervised segmenter for automatic detection of potentially cancerous regions of interest containing fibroglandular tissue in digital screening mammogra...
Michal Haindl, Stanislav Mikes
CAIP
2001
Springer
293views Image Analysis» more  CAIP 2001»
13 years 9 months ago
A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
Zoltan Kato, Ting-Chuen Pong