Image segmentation algorithm based on partial differential equation

被引:3
作者
Guo, Rui [1 ]
Shen, Xuanjing [1 ]
Kang, Hui [1 ]
机构
[1] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Jilin, Peoples R China
基金
中国国家自然科学基金;
关键词
Partial differential equation; image segmentation; algorithm analysis;
D O I
10.3233/JIFS-179614
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:3903 / 3909
页数:7
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