Statistical Images Segmentation

This paper deals with fuzzy statistical imagesegmentation. We introduce a new hierarchicalMarkovian fuzzy hidden field model, which extends to thefuzzy case the classical Pérez and Heitz hard model. Twofuzzy statistical segmentation methods related with themodel proposed are defined in this paper an...

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Main Authors: Corina Curilă, Mircea Curilă, Sorin Curilă, Diana Curilă
Format: Article
Language:English
Published: Editura Universităţii din Oradea 2008-05-01
Series:Journal of Electrical and Electronics Engineering
Subjects:
Online Access:http://electroinf.uoradea.ro/reviste%20CSCS/documente/JEEE_2008/JEEE_2008_45_Curila_1.pdf
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spelling doaj-31418bcda81347089ef991d82e3999a32020-11-24T21:27:45ZengEditura Universităţii din OradeaJournal of Electrical and Electronics Engineering1844-60352008-05-0111186189Statistical Images SegmentationCorina CurilăMircea CurilăSorin CurilăDiana CurilăThis paper deals with fuzzy statistical imagesegmentation. We introduce a new hierarchicalMarkovian fuzzy hidden field model, which extends to thefuzzy case the classical Pérez and Heitz hard model. Twofuzzy statistical segmentation methods related with themodel proposed are defined in this paper and we show viasimulations that they are competitive with, in some casesthan, the classical Maximum Posterior Mode (MPM)based methods. Furthermore, they are faster, which willshould facilitate extensions to more than two hard classesin future work. In addition, the model proposed isapplicable to the multiscale segmentation andmultiresolution images fusion problems.http://electroinf.uoradea.ro/reviste%20CSCS/documente/JEEE_2008/JEEE_2008_45_Curila_1.pdfstatistical imageMaximum Posterior Modesegmentation
collection DOAJ
language English
format Article
sources DOAJ
author Corina Curilă
Mircea Curilă
Sorin Curilă
Diana Curilă
spellingShingle Corina Curilă
Mircea Curilă
Sorin Curilă
Diana Curilă
Statistical Images Segmentation
Journal of Electrical and Electronics Engineering
statistical image
Maximum Posterior Mode
segmentation
author_facet Corina Curilă
Mircea Curilă
Sorin Curilă
Diana Curilă
author_sort Corina Curilă
title Statistical Images Segmentation
title_short Statistical Images Segmentation
title_full Statistical Images Segmentation
title_fullStr Statistical Images Segmentation
title_full_unstemmed Statistical Images Segmentation
title_sort statistical images segmentation
publisher Editura Universităţii din Oradea
series Journal of Electrical and Electronics Engineering
issn 1844-6035
publishDate 2008-05-01
description This paper deals with fuzzy statistical imagesegmentation. We introduce a new hierarchicalMarkovian fuzzy hidden field model, which extends to thefuzzy case the classical Pérez and Heitz hard model. Twofuzzy statistical segmentation methods related with themodel proposed are defined in this paper and we show viasimulations that they are competitive with, in some casesthan, the classical Maximum Posterior Mode (MPM)based methods. Furthermore, they are faster, which willshould facilitate extensions to more than two hard classesin future work. In addition, the model proposed isapplicable to the multiscale segmentation andmultiresolution images fusion problems.
topic statistical image
Maximum Posterior Mode
segmentation
url http://electroinf.uoradea.ro/reviste%20CSCS/documente/JEEE_2008/JEEE_2008_45_Curila_1.pdf
work_keys_str_mv AT corinacurila statisticalimagessegmentation
AT mirceacurila statisticalimagessegmentation
AT sorincurila statisticalimagessegmentation
AT dianacurila statisticalimagessegmentation
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