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Алгоритм и программный комплекс распознавания объектов заданного типа в изображенияÑ

магистерская диссертация

Алгоритм и программный комплекс распознавания объектов заданного типа в изображенияÑ

Abstract

Объектом исследования при написании работы послужили алгоритмы поиска объектов на изображении. Предметом исследования работы стало создание эффективного алгоритма поиска Ð·Ð°Ð´Ð°Ð½Ð½Ñ‹Ñ Ð¾Ð±ÑŠÐµÐºÑ‚Ð¾Ð² в видеопотоке в ÑƒÑÐ»Ð¾Ð²Ð¸ÑÑ Ð¿Ð¾Ð¼ÐµÑ Ð¸ быстро меняющейся обстановки. Ð’ Ñ Ð¾Ð´Ðµ работы была выявлена группа алгоритмов, Ð¿Ð¾Ð´Ñ Ð¾Ð´ÑÑ‰Ð¸Ñ Ð´Ð»Ñ решения поставленной задачи, создан алгоритм, осуществляющий поиск объектов. Разработан программный комплекс, позволяющий пользователю интерактивно задавать параметр для предварительной обработки изображения и наблюдать за результатами поиска. Проведено тестирование работы программного комплекса, выявлен уровень распознавания.

The object of research during writing the work served as the algorithms of object`s search in the image. The subject of research work was a creation of an efficient algorithm for searching of specified objects in video stream in noisy and rapidly changing environment. During the work was identified a group of algorithms suitable for solving the problem, was created an algorithm for object`s searching. Was developed a software package that allows user interactively set parameters for image pre-processing and watch the search results. Software system was tested, a level of recognition was measured.

Keywords

контурный анализ, object search in pictures, Анализаторы изображений, цветовая Ñ Ð°Ñ€Ð°ÐºÑ‚ÐµÑ€Ð¸ÑÑ‚Ð¸ÐºÐ°, contour analysis, color specification, Вычислительные машины электронные персональные, поиск объектов на изображенияÑ

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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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