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Bulletin of the National Technical University "KhPI". A series of "Information and Modeling"
Article . 2011
Data sources: CyberLeninka - Russian open access scientific library
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Локализация характерных фрагментов изображения на основе двумерных вейвлет-фильтров

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2011 Russian Publisher:Національний технічний університет «Харківський політехнічний інститут»Journal:Вестник Национального технического университета Харьковский политехнический институт. Серия: Информатика и моделирование (issn: 2079-0031, Copyright policy )

Локализация характерных фрагментов изображения на основе двумерных вейвлет-фильтров

Abstract

The localization of specific image fragments using a two-dimensional filtering based on continuous wavelet transform is offered. Two-dimensional wavelet filters are obtained by matrix multiplication of the coefficients of one-dimensional wavelet filters. Technique localization of specific image fragments is offered. Results of testing for different applications are considered. Figs.:1. Refs.: 10 titles.

Предложено для локализации характерных фрагментов на изображении использовать двумерную фильтрацию на основе непрерывного вейвлет-преобразования. Двумерные вейвлет-фильтры получены матричным умножением коэффициентов одномерных вейвлет-фильтров. Предложена методика локализации характерных фрагментов изображения, приведены результаты ее апробации для различных приложений. Ил.: 1. Библиогр.: 10 назв.

Keywords

ИЗОБРАЖЕНИЕ, ЛОКАЛИЗАЦИЯ, ХАРАКТЕРНЫЕ ФРАГМЕНТЫ, НЕПРЕРЫВНОЕ ВЕЙВЛЕТ-ПРЕОБРАЗОВАНИЕ, ДВУМЕРНЫЕ ВЕЙВЛЕТ-ФИЛЬТРЫ, ЗОБРАЖЕННЯ, ЛОКАЛіЗАЦіЯ, ХАРАКТЕРНі ФРАГМЕНТИ, НЕПЕРЕРВНЕ ВЕЙВЛЕТ-ПЕРЕТВОРЕННЯ, ДВОМіРНі ВЕЙВЛЕТ-ФіЛЬТРИ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold