3D object segmentation using deformable models

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...

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Bibliographic Details
Main Author:	Chen, Xujian
Other Authors:	Teoh, Eam Khwang
Format:	Theses and Dissertations
Published:	2010
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::biometrics
Online Access:	https://hdl.handle.net/10356/39152
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-39152
record_format	dspace
spelling	sg-ntu-dr.10356-391522023-07-04T17:34:23Z 3D object segmentation using deformable models Chen, Xujian Teoh, Eam Khwang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::biometrics 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. DOCTOR OF PHILOSOPHY (EEE) 2010-05-21T04:46:10Z 2010-05-21T04:46:10Z 2007 2007 Thesis Chen, X. (2007). 3D object segmentation using deformable models. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/39152 10.32657/10356/39152 202 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::biometrics
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::biometrics Chen, Xujian 3D object segmentation using deformable models
description	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.
author2	Teoh, Eam Khwang
author_facet	Teoh, Eam Khwang Chen, Xujian
format	Theses and Dissertations
author	Chen, Xujian
author_sort	Chen, Xujian
title	3D object segmentation using deformable models
title_short	3D object segmentation using deformable models
title_full	3D object segmentation using deformable models
title_fullStr	3D object segmentation using deformable models
title_full_unstemmed	3D object segmentation using deformable models
title_sort	3d object segmentation using deformable models
publishDate	2010
url	https://hdl.handle.net/10356/39152
_version_	1772827992392728576

3D object segmentation using deformable models

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