基于形变模型的图像分割技术综述

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Abstract Abstract 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.

Key words： Image segmentation Deformable model Irregular object

Received: 22 October 2001

PACS:

TN911.73

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	Zhang Lifei
	Wang Dongfeng
	Shi Yonggang
	Zou Mouyan

Cite this article:

Zhang Lifei,Wang Dongfeng,Shi Yonggang等. A survey of image segmentation techniques using deformable models[J]. , 2003, 25(3): 395-403 .

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http://jeit.ie.ac.cn/EN/ OR http://jeit.ie.ac.cn/EN/Y2003/V25/I3/395