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ICMCS
2010
IEEE
193views Multimedia» more  ICMCS 2010»
14 years 1 months ago
Motion segmentation in compressed video using Markov Random Fields
In this paper, we propose an unsupervised segmentation algorithm for extracting moving objects/regions from compressed video using Markov Random Field (MRF) classification. First,...
Yue-Meng Chen, Ivan V. Bajic, Parvaneh Saeedi
CCIA
2005
Springer
14 years 2 months ago
Multispectral Image Segmentation for Fruit Quality Estimation
An unsupervised segmentation algorithm based on a multiresolution method is presented. This method uses variational functions as a segmentation criterion. The algorithm has been ap...
Adolfo Martínez Usó, Filiberto Pla, ...
ICIAR
2004
Springer
14 years 5 months ago
Color Image Segmentation Using Energy Minimization on a Quadtree Representation
Abstract. In this article we present the results of an unsupervised segmentation algorithm based on a multiresolution method. The algorithm uses color and edge information in an it...
Adolfo Martínez Usó, Filiberto Pla, ...
IBPRIA
2005
Springer
14 years 5 months ago
Multispectral Image Segmentation by Energy Minimization for Fruit Quality Estimation
Abstract. This article presents the results of an unsupervised segmentation algorithm in multispectral images. The algorithm uses a minimization function which takes into account e...
Adolfo Martínez Usó, Filiberto Pla, ...
ISBI
2008
IEEE
15 years 26 days ago
Spatially constrained segmentation of dermoscopy images
Dermoscopy is a technique used to better visualize pigmented skin lesion and aid the clinician in determining if a lesion is benign or malignant. Automated segmentation of dermosc...
Howard Zhou, Mei Chen, Le Zou, Richard Gass, Laura...
ICPR
2004
IEEE
15 years 1 months ago
A Novel Energy Minimization Criterion for Color Image Segmentation
In this article, we present an unsupervised segmentation algorithm through a multiresolution approach which uses both color and edge information with a quadtree structure, through...
Adolfo Martínez Usó, Filiberto Pla, ...
ICIP
2003
IEEE
15 years 1 months ago
Unsupervised Bayesian image segmentation using wavelet-domain hidden Markov models
In this paper, we study unsupervised image segmentation using wavelet-domain hidden Markov models (HMMs). We first review recent supervised Bayesian image segmentation algorithms ...
X. Song, G. Fan