Pattern segmentation based on PoolNet and boundary connectivity
Autor: | Gu Xiaohong, Shang Shuyuan |
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Jazyk: | English<br />French |
Rok vydání: | 2023 |
Předmět: | |
Zdroj: | SHS Web of Conferences, Vol 166, p 01069 (2023) |
Druh dokumentu: | article |
ISSN: | 2261-2424 20231660 |
DOI: | 10.1051/shsconf/202316601069 |
Popis: | Traditional image segmentation algorithms need to design features manually. Therefore, based on the advantage of PoolNet in object detection, this paper proposes a clothing pattern segmentation algorithm combining PoolNet detection and boundary connectivity. This algorithm has more fine edges than traditional segmentation. Especially in the case of similar background before and after, we can get more complete pattern elements, and have better results in segmentation accuracy. |
Databáze: | Directory of Open Access Journals |
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