| Issue |
SHS Web of Conf.
Volume 166, 2023
2022 International Conference on Education Innovation and Modern Management (EIMM 2022)
|
|
|---|---|---|
| Article Number | 01068 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.1051/shsconf/202316601068 | |
| Published online | 05 May 2023 | |
Pattern segmentation method based on super-pixel multi-feature fusion
Beijing Institute of Fashion Technology, Beijing, 100029, China
* Corresponding author: shang@bift.edu.cn
The paper presents an optimized segmentation algorithm for clothing patterns. It uses the depth model to improve the image quality. Super-pixel pre-segmentation enhances the ability to capture the edge information of patterns.LBP texture information, HSV color information and image pixel space information are used to optimize the parameters of Gaussian mixture model. The energy function is optimized by maxflow/mincut to realize the fast segmentation of clothing patterns. The simulation results show that the segmentation accuracy and precision of the algorithm are improved.
Key words: Clothing patterns / Super pixel / Image segmentation / Deep learning
© The Authors, published by EDP Sciences, 2023
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