Analysis of object arrangement by means of neural networks

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13430%2F01%3A00001408" target="_blank" >RIV/44555601:13430/01:00001408 - 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

Analysis of object arrangement by means of neural networks

Original language description

In this contribution a new approach to the image analysis of the systems consisting of a large number of individual objects based on neural networks is presented. This technique can profoundly simplify the image analysis of more complicated systems. Thecontribution presents and compares some morphological methods as pre-processing algorithms for neural networks, which is a principal task for a neural networks application. It has been shown that the use of the networks for the determination of the pointstructure randomness leads to successful results. The new approach was tested on simulated hard-disk models.The quality of the performance of the trained networks for real images is a subject of further investigation, now

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BL - Plasma physics and discharge through gases

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2001

Confidentiality

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

Name of the periodical

Ergo (Ústí nad Labem)

ISSN

1212-8317

e-ISSN

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Volume of the periodical

2001

Issue of the periodical within the volume

3

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

14

Pages from-to

83-96

UT code for WoS article

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EID of the result in the Scopus database

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