Neural network approach in image analysis of comlex systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13430%2F00%3A00000547" target="_blank" >RIV/44555601:13430/00:00000547 - 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

Neural network approach in image analysis of comlex systems

Popis výsledku v původním jazyce

In the process of image analysis of complex systems consisting of large number of objects - typical for astronomy, thin film physics, biology, etc. - the reliable and accurate detection of both the size and spatial distribution of objects is very important. This contribution reviews the new approaches based on the neural network approach. The neural network approach is evaluated in terms of their performance and simplicity of their implementation. As a part of the development of the neural network approach a simple algorithm describing the spatial distribution of objects in the image is presented. While the new approach is tested on simulated hard-disk models, the results can be applied to the experimentally derived microphotographs of discontinuous and composite metal films.

Název v anglickém jazyce

Neural network approach in image analysis of comlex systems

Popis výsledku anglicky

In the process of image analysis of complex systems consisting of large number of objects - typical for astronomy, thin film physics, biology, etc. - the reliable and accurate detection of both the size and spatial distribution of objects is very important. This contribution reviews the new approaches based on the neural network approach. The neural network approach is evaluated in terms of their performance and simplicity of their implementation. As a part of the development of the neural network approach a simple algorithm describing the spatial distribution of objects in the image is presented. While the new approach is tested on simulated hard-disk models, the results can be applied to the experimentally derived microphotographs of discontinuous and composite metal films.

Druh

A - Audiovizuální tvorba

CEP obor

BM - Fyzika pevných látek a magnetismus

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2000

Kód důvěrnosti údajů

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

ISBN

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Místo vydání

Pula

Název nakladatele resp. objednatele

Croatian Vacuum Society

Verze

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Identifikační číslo nosiče

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