基于形变模型的图像分割技术综述

基于形变模型的图像分割技术是近年来兴起的一种新型图像分割方法,已有相当广泛的研究。该技术为如何有效地从图像中分割出不规则对象及自然对象指出了一条佳径。该文简要介绍基于形变模型图像分割技术的基本原理和发展历程。按技术发展的线索介绍各种典型的形变模型表示形式,提出各种表示形式的优缺点,分析基于形变模型的图像分割的各种技术所存在的缺点,并建议了可能的研究方向。

A survey of image segmentation techniques using deformable models

Image segmentation using deformable models encompasses a class of techniques developed in recent years and has been studied extensively. The techniques offer a novel method for effectively extracting the border of an irregular object in images. This paper introduces briefly the fundamental principle and history of image segmentation techniques. A few typical deformable models are reviewed including a discussion for their advantages and disadvantages. Finally, the limitation and the further possibilities of current segmentation techniques using deformable model are analyzed.