Evolution Analysis of Adaptive Distance-Preserving Level Set for Image Segmentation Based on Depth Learning

Abstract

Image segmentation technology is the most basic part of computer vision and the basis of all other image processing methods. The quality of image segmentation technology will affect the effect of subsequent processing to a large extent. In the research and application of computer vision, image segmentation is often the first step and plays a very important role in the whole process. Compared with image classification and target detection, Distance-Preserving level set method involves two cross-cutting areas of image recognition and natural language processing, which is very challenging. Handling the information interaction between the machine and the real world is the first step in the study of artificial intelligence. The goal of computer vision research is to make the computer have the ability to perceive and understand image information. In the future, the focus of the work will be on improving the generalization ability of the model so that the model can perform well in a variety of tasks.