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Electronic Sumy State University Institutional Repository
Doctoral thesis . 2015
Data sources: Electronic Sumy State University Institutional Repository
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Параллельное масштабирование изображений в технологии mapreduce hadoop

descriptionPublicationkeyboard_double_arrow_right Doctoral thesis 01 Jan 2015 Russian Publisher:Сумский государственный университет

Параллельное масштабирование изображений в технологии mapreduce hadoop

Abstract

Цифровая обработка изображений находит широкое применение практически во всех областях промышленности. Часто еѐ использование позволяет выйти на качественно новый технологический уровень производства. При этом наиболее сложными являются вопросы, связанные с автоматическим извлечением информации из изображения и ее интерпретацией, являющейся основой для принятия решений в процессе управления производственными процессами.

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Keywords

цифрова обробка зображень, MapReduce Hadoop, алгоритм бикубической интерполяции, маштабування зображень, цифровая обработка изображений, масштабирование изображений

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    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).
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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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
Green