| Issue |
SHS Web of Conf.
Volume 166, 2023
2022 International Conference on Education Innovation and Modern Management (EIMM 2022)
|
|
|---|---|---|
| Article Number | 01069 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/shsconf/202316601069 | |
| Published online | 05 May 2023 | |
Pattern segmentation based on PoolNet and boundary connectivity
Beijing Institute of Fashion Technology, Beijing, 100029, China
* Corresponding author: shang@bift.edu.cn
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.
Key words: Significance test / Boundary connectivity / Pattern segmentation / PoolNet
© The Authors, published by EDP Sciences, 2023
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