活动轮廓模型在医学图像分割的综述

医学图像分割作为图像处理领域的一个研究热点,长期受到广大科研工作者的关注。活动轮廓模型作为医学图像分割的一个重要工具,在近30年的研究中得到了长足的发展。根据活动轮廓模型的表达方式不同,将活动轮廓模型分为参数活动轮廓模型、几何活动轮廓模型;相对于参数活动轮廓模型,几何活动轮廓模型中曲线的运动过程是基于曲线的几何度量,如曲线的法线、曲率等;又由于水平集方法在几何活动轮廓模型的成功应用,使得几何活动轮廓模型在曲线的拓扑变化、数值求解等方面有不少优势。为了全面展示活动轮廓模型的发展历程及其在医学图像领域的应用,首先简述活动轮廓模型的发展历程及一些偏微分方程的基础知识;然后,详细分析几种较为经典活动轮廓模型;接着,对两种类型的活动轮廓模型进行对比分析;最后,对全文进行总结,并对活动轮廓模型的发展与未来进行展望。

A survey of active contour model for medical image segmentation

Medical image segmentation is a research hotspot of image processing, concerned by the majority of researchers. As one of important tools for medical image segmentation, the active contour model has been developed in the past three decades. According to the different expressions of the active contour model, the active contour model is divided into the parametric active contour model and the geometric active contour model. Compared with the parametric active contour model, the motion of the curve in the geometric active contour model is based on the geometric measures of the curve, such as the normal and curvature of the curve, and the Level set method is applied to the geometric active contour model which makes the geometric active contour model has many advantages in the aspect of topological change and numerical solution of the curve. In order to fully demonstrate the development of the active contour model and its application in the field of medical imaging, in this paper, we first briefly describe the development of the active contour model and the basic knowledge of some partial differential equations. Second, we analyze several classical active contour models. Third, we compare and analyze the two types of active contours. Finally, we will give a summary and look to the future of the active contour model at the conclusion of the full text.