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Предварительная обработка изображений на основе трейс-преобразований

Предварительная обработка изображений на основе трейс-преобразований

Abstract

В статье описывается применение трейс-преобразования, введенного авторами ранее с целью получения признаков распознавания нового класса, для реализации предварительной обработки изображений. Показано преимущество использования данного метода предобработки в системах распознавания образов.

The article describes how to apply trace-transformation, early introduced by authors, for image preprocessing. The advantages of using of this image preprocessing technique in pattern recognition systems are shown.

Keywords

ТРЕЙС-ПРЕОБРАЗОВАНИЕ, ДВОЙСТВЕННОЕ ТРЕЙС-ПРЕОБРАЗОВАНИЕ, РАСПОЗНАВАНИЕ ОБРАЗОВ, ТРИПЛЕТНЫЕ ПРИЗНАКИ РАСПОЗНАВАНИЯ, ПРЕДВАРИТЕЛЬНАЯ ОБРАБОТКА ИЗОБРАЖЕНИЙ, СЕГМЕНТАЦИЯ, ОПРЕДЕЛЕНИЕ ЧИСЛА ОБЪЕКТОВ, ГЕОМЕТРИЧЕСКИЕ ПАРАМЕТРЫ ОБЪЕКТОВ

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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