Research on image segmentation method based on improved Snake model-Reference-Cited by-同舟云学术

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Research on image segmentation method based on improved Snake model

Published:2023-07-12 Issue:5 Volume:83 Page:13977-13994
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Zhang Mei,Meng Dan,Pei Yongtao,Wen Jinghua

Funder

Science and Technology Program of the Guizhou Provincial Science and Technology Agency

Guizhou University of Finance and Economics

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-15822-y.pdf

Reference26 articles.

1. Chaddad A, Tanougast C (2015) Real-time abnormal cell detection using a deformable snake model. Health Technol 5:179–187. https://doi.org/10.1007/s12553-015-0115-1

2. Chang J, Gao X, Yang Y et al (2021) Object-Oriented Building Contour Optimization Methodology for Image Classification Results via Generalized Gradient Vector Flow Snake Model. Remote Sensing 13:2406–2406. https://doi.org/10.3390/rs13122406

3. Chao M (2019) Research on three dimensional segmentation of volumetric medical magnetic resonance images. Harbin: Harbin Institute of Technology. https://doi.org/10.27061/d.cnki.ghgdu.2019.000076

4. Ghaffarian S, Turker M (2019) An improved cluster-based snake model for automatic agricultural field boundary extraction from high spatial resolution imagery. Int J Remote Sens 40:1217–1247. https://doi.org/10.1080/01431161.2018.1524178

5. Guo L, LiuaWang YY et al (2021) Learned snakes for 3D image segmentation. Signal Process 183:1–11. https://doi.org/10.1016/j.sigpro.2021.108013

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