Principal Components Analysis in Biomedical Images

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F01%3A00003847" target="_blank" >RIV/60461373:22340/01:00003847 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Principal Components Analysis in Biomedical Images
Original language description
Linear and non-linear methods of image de-noising form a fundamental tool in many problems related to engineering, environmental and biomedical systems. The paper presents the use of the two-dimensional finite impulse response (FIR) filters and the discrete wavelet transform (DWT) for signal decomposition and reconstruction using selected method of thresholding to suppress undesirable signal components. The fundamental part of the paper is devoted to the suggestion of image components enhancement by principal component analysis based upon the original image de-noised by selected methods. The proposed algorithm is discussed in the paper in connection with different types of noise and methods of its rejection. Applications studied in the paper include biomedical image processing and namely analysis of magnetic resonance images (MRI). Algorithms and methods suggested in the paper are presented in the Matlab environment allowing the Web server use for remote image analysis as well.
Czech name
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Czech description
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Publication year
2001
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proc. of the 13th Int. Conf. on Process Control PC '01
ISBN
80-227-1542-5
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
"P111-1"-"P111-4"
Publisher name
Slovak University of Technology
Place of publication
Bratislava
Event location
Štrbské pleso
Event date
Jun 11, 2001
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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