Convex combination of grouping functions for image thresholding. Selection of weighting vectors
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F13%3AA14017UO" target="_blank" >RIV/61988987:17610/13:A14017UO - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Convex combination of grouping functions for image thresholding. Selection of weighting vectors
Original language description
In this work we present a thresholding algorithm for greyscale images. Our proposal is based on the use of grouping functions to find the best threshold. These functions are able to measure the membership of a grey intensity to the background or to the object of the image, so the best threshold is the one associated with the highest grouping value. To avoid the hard task concerning the choice of a suitable grouping function for any given image, we propose to use a combination of several of them. We study different ways of choosing the weights for this combination.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
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Continuities
O - Projekt operacniho programu
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT)
ISBN
9789078677789
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
294-301
Publisher name
Atlantis Press
Place of publication
Milano
Event location
MIlano
Event date
Jan 1, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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