Multiscale cascade segmentation of deformable image and parameters evaluation

Authors:
Long Xiang;Zhang Tao
Affiliations:
Department of Electronic Information Engineering, College of Information Science and Technology, Hainan University, Haikou, China;Department of Communication Engineering, College of Information Science and Technology, Hainan University, Haikou, China
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 5
Year:
2009

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Abstract

Methods based on deformable model have been widely used in deformable image segmentation. The segmentation quality of this kind of methods strongly relies on its initialization. If the initiation isn't accurate, the segmentation result will not be satisfactory. To solve this problem, we propose a new deformable image cascade segmentation method. In the method, the MSRF and SMAP will be used to estimate motion parameters of the background of image sequence. From the result of simulation, we can conclude that the segmentation method is satisfactory.