3-D data visulization for complex technical data

Three dimensional (3-D) visualization of complex technical data is an important and challenging area of study. It can be applied to many applications such as ultra-wide band ground penetrating radar imaging, biomedical imaging, computational electromagnetics, etc. It is important because many proble...

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Main Author: Zhang, Zhidong
Other Authors: School of Electrical and Electronic Engineering
Format: Final Year Project
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10356/61645
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-616452023-07-07T16:55:23Z 3-D data visulization for complex technical data Zhang, Zhidong School of Electrical and Electronic Engineering Lu Yilong DRNTU::Engineering Three dimensional (3-D) visualization of complex technical data is an important and challenging area of study. It can be applied to many applications such as ultra-wide band ground penetrating radar imaging, biomedical imaging, computational electromagnetics, etc. It is important because many problems can only be understood from a whole picture; it is challenging because the data size is very often large and needs complex reconstruction algorithm. The main objective of this project is to study various image reconstruction and 3-D visualization techniques and necessary data processing techniques for visualizing complex technical data, in particular radar imaging data and biomedical imaging data to help result visualization and understanding. The Ground Penetrating Radar (GPR) and Computed Tomography (CT) sample datasets were analyzed in this project. Matlab Image Processing Toolbox and Medical Image Viewing software were used for image reconstruction and visualization. The 3-D visualizations from various methods of the sample 2-D data were constructed and vivid visualization was achieved. Bachelor of Engineering 2014-07-02T01:37:14Z 2014-07-02T01:37:14Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/61645 en Nanyang Technological University 71 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Zhang, Zhidong
3-D data visulization for complex technical data
description Three dimensional (3-D) visualization of complex technical data is an important and challenging area of study. It can be applied to many applications such as ultra-wide band ground penetrating radar imaging, biomedical imaging, computational electromagnetics, etc. It is important because many problems can only be understood from a whole picture; it is challenging because the data size is very often large and needs complex reconstruction algorithm. The main objective of this project is to study various image reconstruction and 3-D visualization techniques and necessary data processing techniques for visualizing complex technical data, in particular radar imaging data and biomedical imaging data to help result visualization and understanding. The Ground Penetrating Radar (GPR) and Computed Tomography (CT) sample datasets were analyzed in this project. Matlab Image Processing Toolbox and Medical Image Viewing software were used for image reconstruction and visualization. The 3-D visualizations from various methods of the sample 2-D data were constructed and vivid visualization was achieved.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Zhang, Zhidong
format Final Year Project
author Zhang, Zhidong
author_sort Zhang, Zhidong
title 3-D data visulization for complex technical data
title_short 3-D data visulization for complex technical data
title_full 3-D data visulization for complex technical data
title_fullStr 3-D data visulization for complex technical data
title_full_unstemmed 3-D data visulization for complex technical data
title_sort 3-d data visulization for complex technical data
publishDate 2014
url http://hdl.handle.net/10356/61645
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