Multispectral texture segmentation.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F03%3A16030237" target="_blank" >RIV/67985556:_____/03:16030237 - isvavai.cz</a>
Alternative codes found
RIV/61384399:31160/03:00018243
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Multispectral texture segmentation.
Original language description
An efficient and robust type of unsupervised multispectral texture segmentation method is presented. The algorithm starts with spectral factorization of an input multispectral texture image using the Karhunen-Loeve expansion. Monospectral factors of single texture patches are assumed to be modelled using a Gaussian Markov random field model. The texture segmentation is done by K-means algorithm in the Markov model parameter space evaluated for each pixel centered image window.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
<a href="/en/project/IAA2075302" target="_blank" >IAA2075302: Multi-dimensional Compound Probabilistic Models</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
WDS '03 Proceedings of Contributed Papers.
ISBN
80-86732-18-5
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
221-225
Publisher name
MFF UK
Place of publication
Praha
Event location
Praha [CZ]
Event date
Jun 10, 2003
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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