Correlation method for pattern recognition

A new approach towards solving the pattern recognition problems in hybrid optical/digital correlators is suggested. The method is based on the authors' know-how-principle of transforming the field intensity or amplitude data on the identified object assuming that these data may be entered into...

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Veröffentlicht in:Semiconductor Physics Quantum Electronics & Optoelectronics
Datum:2002
Hauptverfasser: Yezhov, P.V., Kuzmenko, A.V., Komarov, V.A.
Format: Artikel
Sprache:Englisch
Veröffentlicht: Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України 2002
Online Zugang:https://nasplib.isofts.kiev.ua/handle/123456789/121354
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Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Zitieren:Correlation method for pattern recognition / P.V. Yezhov, A.V. Kuzmenko, V.A. Komarov // Semiconductor Physics Quantum Electronics & Optoelectronics. — 2002. — Т. 5, № 4. — С. 431-433. — Бібліогр.: 3 назв. — англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
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author Yezhov, P.V.
Kuzmenko, A.V.
Komarov, V.A.
author_facet Yezhov, P.V.
Kuzmenko, A.V.
Komarov, V.A.
citation_txt Correlation method for pattern recognition / P.V. Yezhov, A.V. Kuzmenko, V.A. Komarov // Semiconductor Physics Quantum Electronics & Optoelectronics. — 2002. — Т. 5, № 4. — С. 431-433. — Бібліогр.: 3 назв. — англ.
collection DSpace DC
container_title Semiconductor Physics Quantum Electronics & Optoelectronics
description A new approach towards solving the pattern recognition problems in hybrid optical/digital correlators is suggested. The method is based on the authors' know-how-principle of transforming the field intensity or amplitude data on the identified object assuming that these data may be entered into a computer by ordinary methods. This principle allows to solve the unification of the correlation functions and recognition attributes selection problem using a unified, identified object's class-independent method. Presented experimental results confirm applicability of this approach.
first_indexed 2025-11-28T07:30:38Z
format Article
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institution Digital Library of Periodicals of National Academy of Sciences of Ukraine
issn 1560-8034
language English
last_indexed 2025-11-28T07:30:38Z
publishDate 2002
publisher Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України
record_format dspace
spelling Yezhov, P.V.
Kuzmenko, A.V.
Komarov, V.A.
2017-06-14T07:48:53Z
2017-06-14T07:48:53Z
2002
Correlation method for pattern recognition / P.V. Yezhov, A.V. Kuzmenko, V.A. Komarov // Semiconductor Physics Quantum Electronics & Optoelectronics. — 2002. — Т. 5, № 4. — С. 431-433. — Бібліогр.: 3 назв. — англ.
1560-8034
PACS: 42.30.Sy, 42.30.Wb, 42.79.Hp
https://nasplib.isofts.kiev.ua/handle/123456789/121354
A new approach towards solving the pattern recognition problems in hybrid optical/digital correlators is suggested. The method is based on the authors' know-how-principle of transforming the field intensity or amplitude data on the identified object assuming that these data may be entered into a computer by ordinary methods. This principle allows to solve the unification of the correlation functions and recognition attributes selection problem using a unified, identified object's class-independent method. Presented experimental results confirm applicability of this approach.
en
Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України
Semiconductor Physics Quantum Electronics & Optoelectronics
Correlation method for pattern recognition
Article
published earlier
spellingShingle Correlation method for pattern recognition
Yezhov, P.V.
Kuzmenko, A.V.
Komarov, V.A.
title Correlation method for pattern recognition
title_full Correlation method for pattern recognition
title_fullStr Correlation method for pattern recognition
title_full_unstemmed Correlation method for pattern recognition
title_short Correlation method for pattern recognition
title_sort correlation method for pattern recognition
url https://nasplib.isofts.kiev.ua/handle/123456789/121354
work_keys_str_mv AT yezhovpv correlationmethodforpatternrecognition
AT kuzmenkoav correlationmethodforpatternrecognition
AT komarovva correlationmethodforpatternrecognition