Model-based texture segmentation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F04%3A00106343" target="_blank" >RIV/67985556:_____/04:00106343 - isvavai.cz</a>

Alternative codes found

RIV/61384399:31160/04:00019182

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Model-based texture segmentation

Original language description

An efficient and robust type of unsupervised multispectral texture segmentation method is presented. Single decorrelated monospectral texture factors are assumed to be represented by a set of local Gaussian Markov random field (GMRF) models evaluated foreach pixel centered image window and for each spectral band. The segmentation algorithm based on the underlying Gaussian mixture (GM) model operates in the decorrelated GMRF parametric space. The number of texture regions is adaptively changed.

Czech name

Segmentace textur založená na modelu

Czech description

Práce prezentuje efektivní a robustní metodu neřízené segmentace multispektrálních textur. Dekorelované monospektrální texturní složky jsou reprezentovány lokálními gauss-markovskými modely

Type

D - Article in proceedings

CEP classification

BD - Information theory

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2004

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Image Analysis and Recognition. Proceedings

ISBN

3-540-23240-0

ISSN

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e-ISSN

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Number of pages

8

Pages from-to

306-313

Publisher name

Springer

Place of publication

Berlin

Event location

Porto

Event date

Sep 29, 2004

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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