Wavelet Transform for Image Analysis. In the Proceedings of

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F03%3APU40199" target="_blank" >RIV/00216305:26220/03:PU40199 - 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

Wavelet Transform for Image Analysis. In the Proceedings of

Popis výsledku v původním jazyce

The wavelet transform is a comparatively new and fast developing method for analysing signals. The main advantage of applying the wavelet transform to the detection of edges in an image is the possibility of choosing the size of the details that will bedetected. The size of detected edges is set by the wavelet scale. In the case of the discrete wavelet transform the choice of the scale is performed by multiple signal passage through the wavelet filter. When processing a 2-D image, the wavelet analysisis performed separately for the horizontal and the vertical function. The vertical and the horizontal edges are thus detected separately. The wavelet transform will split the input signal into two components. One contains the low-frequency (LP) part of input signal, which corresponds to major changes in the function (individual objects in the image, etc.). The other part contains the high-frequency (HP) part of input signal, which corresponds to details in the function (noise, edges, etc

Název v anglickém jazyce

Wavelet Transform for Image Analysis. In the Proceedings of

Popis výsledku anglicky

The wavelet transform is a comparatively new and fast developing method for analysing signals. The main advantage of applying the wavelet transform to the detection of edges in an image is the possibility of choosing the size of the details that will bedetected. The size of detected edges is set by the wavelet scale. In the case of the discrete wavelet transform the choice of the scale is performed by multiple signal passage through the wavelet filter. When processing a 2-D image, the wavelet analysisis performed separately for the horizontal and the vertical function. The vertical and the horizontal edges are thus detected separately. The wavelet transform will split the input signal into two components. One contains the low-frequency (LP) part of input signal, which corresponds to major changes in the function (individual objects in the image, etc.). The other part contains the high-frequency (HP) part of input signal, which corresponds to details in the function (noise, edges, etc

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

<a href="/cs/project/GA102%2F03%2F0560" target="_blank" >GA102/03/0560: Nové metody zajištění a kontroly dodržení kvality služeb v sítích nových generací</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2003

Kód důvěrnosti údajů

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

Název statě ve sborníku

In Proceedings of the IEEE-Siberian Conference on Control and Communications. SIBCON-2003

ISBN

0-7803-7854-7

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

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Název nakladatele

IEEE

Místo vydání

Tomsk, Ruska

Místo konání akce

Tomsk

Datum konání akce

1. 10. 2003

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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