CV-GAC模型的水平集图像分割

Yang Lin, L. Tong
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引用次数: 1

摘要

本文详细介绍了基于边缘、区域以及两者结合的水平集分割模型的国内外研究现状,阐述了曲线演化的基本理论和水平集理论。详细介绍了GAC模型和CV模型的基本原理。同时通过多次实验分析了两种模型的优缺点。比较了CV模型与GAC模型的优缺点,以及与CV-GAC模型相结合的优缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Level Set Image Segmentation of CV-GAC Model
This paper introduces the current research status of the level set segmentation model based on edge, region and the combination of the two at home and abroad in detail, and describes the basic theory and level set theory of curve evolution. The basic principles of the GAC model and the CV model are described in detail. Simultaneously analyzes the advantages and disadvantages of the two models through multiple experiments. The advantages and disadvantages of the CV model and the GAC model are compared with the combined with the CV-GAC model.
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