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...
Збережено в:
Дата: | 2002 |
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Автори: | , , |
Формат: | Стаття |
Мова: | English |
Опубліковано: |
Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України
2002
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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. |
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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 |
_version_ |
1796150763812028416 |