Stellar Object Detection Using the Wavelet Transform

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00185994" target="_blank" >RIV/68407700:21230/11:00185994 - isvavai.cz</a>

Result on the web

<a href="http://ctn.cvut.cz/ap/download.php?id=646" target="_blank" >http://ctn.cvut.cz/ap/download.php?id=646</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Stellar Object Detection Using the Wavelet Transform

Original language description

Several algorithms are used nowadays for detecting stellar objects in astronomical images, for example in the DAOPHOT program package and in SExtractor (Software for source extraction). Our team has become acquainted with the wavelet transform and its good localization properties. After studying the manual for DAOPHOT and SExtractor, and becoming familiar with the a trous algorithm used for calculating the wavelet transform, we set ourselves the task to implement an ` algorithm for star detection on thebasis of the wavelet transform. We focused on detecting stellar objects in complex fields, such as globular clusters and galaxies. This paper describes a stellar object detection algorithm with the help of the wavelet transform, and presents our results.

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

JA - Electronics and optoelectronics

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2011

Confidentiality

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

Name of the periodical

Acta Polytechnica

ISSN

1210-2709

e-ISSN

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Volume of the periodical

51

Issue of the periodical within the volume

6

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

4

Pages from-to

9-12

UT code for WoS article

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EID of the result in the Scopus database

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