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.

中文翻译：

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基于偏微分方程的图像分割算法

图像分割对于各个领域都非常重要。随着计算机技术的发展，计算机技术在图像分割中变得越来越有效，并在偏微分方程的基础上进行了研究。阐述了平面微分几何中的曲线表示方法，并在医学图像分割中对SegNet-v2分割模型进行了分析和测试。测试结果表明，偏微分方程图像分割算法可以实现更准确的分割，特别是在医学图像分割中，可以达到较好的分割效果，值得在实践中进一步推广。