Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/39152
Title: 3D object segmentation using deformable models
Authors: Chen, Xujian
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::biometrics
Issue Date: 2007
Source: Chen, X. (2007). 3D object segmentation using deformable models. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: This thesis presents research work on deformable surface model for 3D object segmentation. Over the past decades, there have been many research activities in 3D object segmentation using 3D and 2D deformable models. Full 3D methods will produce much better results than those obtained based on the 2D ones. Contextual intensity information of one voxel in one direction will be lost in each 2D image. Furthermore, a post-processing step is required to connect the sequence of 2D contours in a continuous surface. Reconstruction of the surface will be difficult if the topology of 2D contours is complicated. Therefore, it is desired to detect objects in 3D space directly to avoid the shortcomings of 2D methods, especially in application to 3D medical image analysis.
URI: https://hdl.handle.net/10356/39152
DOI: 10.32657/10356/39152
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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