Boundary extraction in images using a clustering algorithm
Автор: Belim Sergey Viktorovich, Kutlunin Pavel Evgenievich
Журнал: Компьютерная оптика @computer-optics
Рубрика: Обработка изображений: Восстановление изображений, выявление признаков, распознавание образов
Статья в выпуске: 1 т.39, 2015 года.
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The article suggests an algorithm of boundary extraction based on image clustering. In the process of clustering, the image is decomposed into simply connected regions based on pixel color. Edges of the regions are considered as the boundaries. The proposed approach allows obtaining well-defined boundaries without blurring. The algorithm is highly resistant to impulse noise.
Boundary extraction, edge detection in an image
Короткий адрес: https://sciup.org/14059325
IDR: 14059325