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Hidden Markov random field

A hidden Markov random field is a generalization of a hidden Markov model. Instead of having an underlying Markov chain, hidden Markov random fields… 
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Related topics

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Bayesian networkHidden Markov modelMarkov chainMarkov random field

Papers overview

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Highly Cited
2017
Highly Cited
2017
Segmentation of Breast Thermal Images Using Kapur's Entropy and Hidden Markov Random Field
2012
2012
GMM-Based Hidden Markov Random Field for Color Image and 3D Volume Segmentation
In this project, we first study the Gaussian-based hidden Markov random field (HMRF) model and its expectation-maximization (EM… 
2010
2010
Development of Unsupervised Image Segmentation Schemes for Brain MRI using HMRF model
Image segmentation is a classical problem in computer vision and is of paramount importance to medical imaging. Medical image… 
Highly Cited
2006
Highly Cited
2006
Hidden Markov models-based 3D MRI brain segmentation
Highly Cited
2006
Highly Cited
2006
Distributed Estimation and Detection for Sensor Networks Using Hidden Markov Random Field Models
We develop a hidden Markov random field (HMRF) framework for distributed signal processing in sensor-network environments. Under… 
2005
2005
A Dynamic Hidden Markov Random Field Model for Foreground and Shadow Segmentation
This paper proposes a dynamic hidden Markov random field (DHMRF) model for foreground object and moving shadow segmentation in… 
2005
2005
Bayesian Image Segmentation Using MRF's Combined with Hierarchical Prior Models
The problem of image segmentation can be formulated in the framework of Bayesian statistics. We use a Markov random field as the… 
2004
2004
Unsupervised Image Segmentation using Tabu Search and Hidden Markov Random Field Model and Hidden Markov Random Field Model
We propose a Tabu search based Expectation Maximization (EM) algorithm for image segmentation in an unsupervised frame work… 
2000
2000
Hidden Markov random field based approach for off-line handwritten Chinese character recognition
This paper presents a hidden Markov mesh random field (HMMRF) based approach for off-line handwritten Chinese characters… 
1987
1987
Learning the parameters of a hidden Markov random field image model: A simple example
The paper outlines a unified treatment of the labeling and learning problems for the so-called hidden Markov chain model… 
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