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ICMCS
2010
IEEE
193views Multimedia» more  ICMCS 2010»
14 years 15 days 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 1 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 4 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 4 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 16 days 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