Fuzzy c-means with wavelet filtration for MR image segmentation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092828" target="_blank" >RIV/61989100:27240/14:86092828 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/14:86092828
Result on the web
<a href="http://dx.doi.org/10.1109/NaBIC.2014.6921884" target="_blank" >http://dx.doi.org/10.1109/NaBIC.2014.6921884</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/NaBIC.2014.6921884" target="_blank" >10.1109/NaBIC.2014.6921884</a>
Alternative languages
Result language
angličtina
Original language name
Fuzzy c-means with wavelet filtration for MR image segmentation
Original language description
In this paper, we present an image segmentation technique based on fuzzy c-means (FCM) incorporated with wavelet domain noise filtration. With the use of image noise feature estimation composed of preliminary coefficient classification and wavelet domainindicator, a filter for balancing the preservation of relevant details against the degree of noise reduction can be created. The filter is further incorporated with FCM algorithm into the membership function for clustering. This approach allows FCM notonly to exploit useful spatial information, but also dynamically minimize clustering errors caused by common noise in medical images. Experimental results suggest its usefulness for reducing FCM clustering noise sensitivity. In MR image segmentation applications, the proposed method outperforms other FCM variations, in terms of quantitative performance measure and visual quality. 2014 IEEE.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
NaBIC 2014 ; CASoN 2014 : July 30-31, Porto, Portugal
ISBN
978-1-4799-5937-2
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
12-16
Publisher name
IEEE
Place of publication
New York
Event location
Porto
Event date
Jul 30, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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