| Title: | Texture image segmentation based on classification, skeletonization and crossing of contour elements |
| Authors: | Альзаки, Х. М. |
| Keywords: | материалы конференций;texture image segmentation;classification;contour elements |
| Issue Date: | 2017 |
| Publisher: | БГУИР |
| Citation: | Alzakki H. M. Texture image segmentation based on classification, skeletonization and crossing of contour elements / H. M. Alzakki // Телекоммуникации: сети и технологии, алгебраическое кодирование и безопасность данных: материалы международного научно- технического семинара. В 2 ч. Ч. 1 (Минск, апрель – декабрь 2016 г.). – Минск: БГУИР, 2017. – С. 18-24. |
| Abstract: | A method for texture image segmentation based on classification, skeletonization and crossing of contour elements is presented. The essence of the method consists in the contouring of the image, determining the position of contour elements in the image of different types (points, lines, and shapes) converting closely spaced similar contour elements into binary regions objects, binary coding mutual position obtained areal objects within the boundaries of the image segmentation are resulting in code matrix. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/8991 |
| ISBN: | 978-985-543-244-0 |
| Appears in Collections: | Телекоммуникации 2016
|
