| DC Field | Value | Language |
|---|
| dc.contributor.author | Ma Jun | - |
| dc.contributor.author | Tsviatkou, V. Y. | - |
| dc.contributor.author | Konopelko, V. K. | - |
| dc.contributor.author | Цветков, В. Ю. | - |
| dc.contributor.author | Конопелько, В. К. | - |
| dc.date.accessioned | 2021-04-27T10:52:07Z | - |
| dc.date.available | 2021-04-27T10:52:07Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.citation | Ma Jun. Review on mainstream method of skeleton pruning / Ma Jun, V. Yu. Tsviatkou, V. K. Konopelko. // Кодирование и цифровая обработка сигналов в инфокоммуникациях : материалы международной научно-практической конференции, Минск, 19 апреля 2021 г. / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: В. К. Конопелько, В. Ю. Цветков, Л. А. Шичко. – Минск : БГУИР, 2021. – С. 5–8. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/43312 | - |
| dc.description.abstract | The technique of skeleton pruning was generally deployed after the skeletonization of the binary image for filtering unwanted branches caused by the boundary noise, which was a vital pre-processing method before analysis and recognition of the skeleton. It was still a challenging task since there were not standard measurements for distinct the noise branches and original structural branches. In the past decade, there were many approaches based on different perspective have emerged for trying tackle that problem. The review of the most 6 cited paper was conducted in this paper. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | 2D skeleton | ru_RU |
| dc.subject | skeleton branch | ru_RU |
| dc.subject | skeleton pruning | ru_RU |
| dc.title | Review on mainstream method of skeleton pruning | ru_RU |
| dc.type | Статья | ru_RU |
| Appears in Collections: | Кодирование и цифровая обработка сигналов в инфокоммуникациях (2021)
|
