Unsupervised parallel image classification using Markovian models

Unsupervised parallel image classification using Markovian models

Unsupervised parallel image classification using Markovian models1

This paper deals with the problem of unsupervised classification of images modeled by Markov random fields (MRF). If the model parameters are known then we have various methods to solve the segmentation problem (simulated annealing (SA), iterated conditional modes (ICM), etc). However, when the parameters are unknown, the problem becomes more difficult. One has to estimate the hidden label fiel...

Unsupervised Parallel Image Classification Using a Hierarchical Markovian Model∗

This paper deals with the problem of unsupervised classification of images modeled by Markov Random Fields (MRF). If the model parameters are known then we have various methods to solve the segmentation problem (simulated annealing, ICM, etc. . . ). However, when they are not known, the problem becomes more difficult. One has to estimate the hidden label field parameters from the only observabl...

Unsupervised Parallel Image Classificiation Using a Hierarchical Markovian Model

This paper deals with the problem of unsupervised classiication of images modeled by Markov Random Fields (MRF). If the model parameters are known then we have various methods to solve the segmentation problem (simulated anneal-ing, ICM, etc: : :). However, when they are not known, the problem becomes more diicult. One has to estimate the hidden label eld parameters from the only observable ima...

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 independent, non-Gaussian densities. The algorithm estimates the data density in each class by using parametric nonlinear functions that fit to the non-Gaussian structure of the data. This improves classification accur...