| DC Field | Value | Language |
|---|
| dc.contributor.author | Yuan Liu | - |
| dc.date.accessioned | 2022-06-28T06:05:39Z | - |
| dc.date.available | 2022-06-28T06:05:39Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.citation | Yuan Liu. Noise reduction method for skeletonized images / Yuan Liu // Инфокоммуникации : сборник тезисов докладов 58-ой научной конференции аспирантов, магистрантов и студентов, Минск, 18–22 апреля 2022 г. / Белорусский государственный университет информатики и радиоэлектроники. – Минск : БГУИР, 2022. – С. 143–145. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/47670 | - |
| dc.description.abstract | Thinning framework that based on the scale space technique to automatically extract skeletons from images without manual-tuning. The proposed framework can increase the robustness of the thinning algorithm, it not only can suppress the boundary noise, but also can alleviate the inner noise. These two types of noise generally cause the appearance of the abundant of the unwanted branches in the outcome of the thinning algorithm, which arise the difficulties of the later recognition or matching process in skeleton. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | skeleton | ru_RU |
| dc.subject | robustness | ru_RU |
| dc.subject | inner noise | ru_RU |
| dc.subject | boundary noise | ru_RU |
| dc.title | Noise reduction method for skeletonized images | ru_RU |
| dc.type | Статья | ru_RU |
| Appears in Collections: | Инфокоммуникации : материалы 58-й научной конференции аспирантов, магистрантов и студентов (2022)
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