Image segmentation algorithm based on partial differential equation

Issue title: Meta-Heuristic Techniques for Solving Computational Engineering Problems: Challenges and New Research Directions

Guest editors: Suresh Chandra Satapathy, Rashmi Agrawal and Vicente García Díaz

Article type: Research Article

Authors: Cui, Di^{; *}

Affiliations: School of Electronic and Information Engineering, Ningbo University of Technology, China

Correspondence: [*] Corresponding author. Di Cui, School of Electronic and Information Engineering, Ningbo University of Technology, China. E-mail: cuidi@nbut.edu.cn.

Abstract: Image segmentation is very important for various fields. With the development of computer technology, computer technology has become more and more effective for image segmentation, and it is studied on the basis of partial differential equations. The curve representation method in plane differential geometry is expounded, with the SegNet-v2 segmentation model analyzed and tested in medical image segmentation. The test results show that the partial differential equation image segmentation algorithm can achieve more accurate segmentation, especially in medical image segmentation, which can achieve good results, and it is worth in practice to further promote.

Keywords: Partial differential equation, image segmentation, algorithm analysis

DOI: 10.3233/JIFS-189434

Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 5945-5952, 2021