Affiliations: College of Computer Science and Technology, Jilin University, Jilin, Changchun, China
Correspondence:
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Corresponding author. Hui Kang, College of Computer Science and Technology, Jilin University, Jilin, Changchun, 130012, China. E-mail: kanghui@jlu.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.
