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Система анализа и распознавания изображений

бакалаврская работа
descriptionPublicationkeyboard_double_arrow_right Other literature type 01 Jan 2017 Russian Publisher:Санкт-Петербургский политехнический университет Петра Великого

doi: 10.18720/spbpu/2/v17-5869

Система анализа и распознавания изображений

Abstract

Цель данной работы - изучить алгоритм распознавания предметов, изучить библиотеку алгоритмов компьютерного зрения и обработки изображений с открытым Ð¸ÑÑ Ð¾Ð´Ð½Ñ‹Ð¼ кодом Open CV, отслеживание и распознавание объектов с использованием библиотеки Open CV, проведение анализа и сделать выводы о Ñ€ÐµÐ·ÑƒÐ»ÑŒÑ‚Ð°Ñ‚Ð°Ñ Ð°Ð½Ð°Ð»Ð¸Ð·Ð°. Этапы выполнения работы включают изучение предметной области, выбор инструментария, исследование алгоритма, изучение Ð¾ÑÐ½Ð¾Ð²Ð½Ñ‹Ñ Ð¼ÐµÑ‚Ð¾Ð´Ð¾Ð² и функций библиотеки OpenCV, реализация кодов программы и анализ Ð¿Ð¾Ð»ÑƒÑ‡ÐµÐ½Ð½Ñ‹Ñ Ñ€ÐµÐ·ÑƒÐ»ÑŒÑ‚Ð°Ñ‚Ð¾Ð².

Keywords

анализ изображения, отслеживание объектов, детектирование объектов, компьютерное зрение

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citations
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
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