Principal Components Analysis in Biomedical Images

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Principal Components Analysis in Biomedical Images

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Principal Components Analysis in Biomedical Images

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2001

Kód důvěrnosti údajů

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

Název statě ve sborníku

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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Počet stran výsledku

4

Strana od-do

"P111-1"-"P111-4"

Název nakladatele

Slovak University of Technology

Místo vydání

Bratislava

Místo konání akce

Štrbské pleso

Datum konání akce

11. 6. 2001

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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