A fine segmentation model of flue-cured tobacco’s main veins based on multi-level-scale features of hybrid fusion-Reference-Cited by-同舟云学术

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A fine segmentation model of flue-cured tobacco’s main veins based on multi-level-scale features of hybrid fusion

Published:2024-08-12 Issue: Volume: Page:
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Xu Biao^ORCID,Liu Xiaobao^ORCID,Gu Wenjuan^ORCID,Liu Jia^ORCID,Wang Hongcheng^ORCID

Funder

Establishment and Application of Artificial Intelligence Grading Model Based on Roasted Tobacco Base Samples in Yunnan Province, China

Major Science and Technology Special Project of Yunnan Provincial Science and Technology Department, China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00500-024-09833-6.pdf

Reference43 articles.

1. Cao Y, Yan C, Li J et al (2017) Leaf vein extraction and angle measurement using hue information and line detection. In: 9th International conference on intelligent human-machine systems and cybernetics (IHMSC). IEEE, 223–225. https://doi.org/10.1109/IHMSC.2017.58

2. Chen L-C, Papandreou G, Schroff F et al (2017) Rethinking atrous convolution for semantic image segmentation. arXiv preprint arXiv:1706.05587. https://doi.org/10.48550/arXiv.1706.05587

3. Chen L-C, Zhu Y, Papandreou G et al (2018) Encoder-decoder with atrous separable convolution for semantic image segmentation. In: Proceedings of the European conference on computer vision (ECCV). 801–818. https://doi.org/10.1007/978-3-030-01234-2_49

4. Chen H, Qian F, Chen J et al (2021a) FG-RS: capture user fine-grained preferences through attribute information for recommender systems. Neurocomputing 458:195–203. https://doi.org/10.1016/j.neucom.2021.05.068

5. Chen J, Lu Y, Yu Q, et al (2021b) Transunet: Transformers make strong encoders for medical image segmentation. arXiv preprint arXiv:2102.04306. https://doi.org/10.48550/arXiv.2102.04306

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