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A SURVEY OF IMAGE SEGMENTATION TECHNIQUES USING DEFORMABLE MODELS

Zhang Lifei Wang Dongfeng Shi Yonggang Zou Mouyan (Institute of Electronics, Chinese Academy of Sciences, Beijing 100080, China)  
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.
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