https://libeldoc.bsuir.by/handle/123456789/28093
Название: | Selection texture regions on the image based on classification assessment density of contour elements |
Авторы: | Alzakki, H. M. Tsviatkou, V. Y. |
Ключевые слова: | материалы конференций;selection texture regions;contour elements;classification assessment density |
Дата публикации: | 2017 |
Издательство: | БГУИР |
Описание: | Alzakki, H. M. Selection texture regions on the image based on classification assessment density of contour elements / H. M. Alzakki, V. Tsviatkou // BIG DATA and Advanced Analytics: collection of materials of the third international scientific and practical conference, Minsk, Belarus, May 3–4, 2017 / editorial board : М. Batura [et al.]. – Minsk : BSUIR, 2017. – С. 113-118. |
Аннотация: | A method for texture images segmentation based on selection texture regions on the image based on classification assessment density of contour elements. The goal of the method find the contouring of the image, determin- ing the position of contour elements in the image and classify it for different types(points, lines, and shapes) close the region which had same type of contour type into binary regions objects. The result will be representing in binary matrix. |
URI: | https://libeldoc.bsuir.by/handle/123456789/28093 |
Располагается в коллекциях: | BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2017) |
Файл | Описание | Размер | Формат | |
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Alzakki_Selection.PDF | 844.23 kB | Adobe PDF | Открыть |
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