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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Бібліографічні деталі
Дата:2002
Автори: Yezhov, P.V., Kuzmenko, A.V., Komarov, V.A.
Формат: Стаття
Мова:English
Опубліковано: Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України 2002
Назва видання:Semiconductor Physics Quantum Electronics & Optoelectronics
Онлайн доступ:http://dspace.nbuv.gov.ua/handle/123456789/121354
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Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Цитувати: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.

Репозитарії

Digital Library of Periodicals of National Academy of Sciences of Ukraine
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spelling irk-123456789-1213542017-06-15T03:03:16Z Correlation method for pattern recognition Yezhov, P.V. Kuzmenko, A.V. Komarov, V.A. 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. 2002 Article 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 http://dspace.nbuv.gov.ua/handle/123456789/121354 en Semiconductor Physics Quantum Electronics & Optoelectronics Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України
institution Digital Library of Periodicals of National Academy of Sciences of Ukraine
collection DSpace DC
language English
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.
format Article
author Yezhov, P.V.
Kuzmenko, A.V.
Komarov, V.A.
spellingShingle Yezhov, P.V.
Kuzmenko, A.V.
Komarov, V.A.
Correlation method for pattern recognition
Semiconductor Physics Quantum Electronics & Optoelectronics
author_facet Yezhov, P.V.
Kuzmenko, A.V.
Komarov, V.A.
author_sort Yezhov, P.V.
title Correlation method for pattern recognition
title_short 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_sort correlation method for pattern recognition
publisher Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України
publishDate 2002
url http://dspace.nbuv.gov.ua/handle/123456789/121354
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.
series Semiconductor Physics Quantum Electronics & Optoelectronics
work_keys_str_mv AT yezhovpv correlationmethodforpatternrecognition
AT kuzmenkoav correlationmethodforpatternrecognition
AT komarovva correlationmethodforpatternrecognition
first_indexed 2023-10-18T20:39:15Z
last_indexed 2023-10-18T20:39:15Z
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