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Segmentation Assisted Object Distinction For Direct Volume Rendering

Ray casting is a direct volume rendering technique for visualizing 3D arrays of sampled data. It has vital applications in medical and biological imaging. Nevertheless, it is inherently open to cluttered classification results. It suffers from overlapping transfer function values and lacks a suff...

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Main Author: Irani, Arash Azim Zadeh
Format: Thesis
Language:English
Published: 2013
Subjects:
QA75.5-76.95 Electronic computers. Computer science
Online Access:http://eprints.usm.my/43239/1/ARASH%20AZIM%20ZADEH%20IRANI24.pdf
http://eprints.usm.my/43239/
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spelling my.usm.eprints.43239 http://eprints.usm.my/43239/ Segmentation Assisted Object Distinction For Direct Volume Rendering Irani, Arash Azim Zadeh QA75.5-76.95 Electronic computers. Computer science Ray casting is a direct volume rendering technique for visualizing 3D arrays of sampled data. It has vital applications in medical and biological imaging. Nevertheless, it is inherently open to cluttered classification results. It suffers from overlapping transfer function values and lacks a sufficiently powerful voxel parsing mechanism for object distinction. In this research work, we are proposing an image processing based approach towards enhancing ray casting technique’s object distinction process. The ray casting architecture is modified to accommodate object membership information generated by a K-means based hybrid segmentation algorithm. Object membership information is assigned to cubical vertices in the form of ID tags. An intra-object buffer is devised and coordinated with inter-object buffer, allowing the otherwise global rendering module to embed multiple local (secondary) rendering processes. A local rendering process adds two advantageous aspects to global rendering module. First, depth oriented manipulation of interpolation and composition operations that lead to freedom of interpolation method choice based on the number of available objects in various volumetric depths, improvement of LOD (level of details) for desired objects and reduced number of required mathematical computations. Second, localization of transfer function design that enables the utilization of binary (non-overlapping) transfer functions for color and opacity assignment. A set of image processing techniques are creatively employed in the design of K-means based hybrid segmentation algorithm. 2013-06 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/43239/1/ARASH%20AZIM%20ZADEH%20IRANI24.pdf Irani, Arash Azim Zadeh (2013) Segmentation Assisted Object Distinction For Direct Volume Rendering. PhD thesis, Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic QA75.5-76.95 Electronic computers. Computer science
spellingShingle QA75.5-76.95 Electronic computers. Computer science
Irani, Arash Azim Zadeh
Segmentation Assisted Object Distinction For Direct Volume Rendering
description Ray casting is a direct volume rendering technique for visualizing 3D arrays of sampled data. It has vital applications in medical and biological imaging. Nevertheless, it is inherently open to cluttered classification results. It suffers from overlapping transfer function values and lacks a sufficiently powerful voxel parsing mechanism for object distinction. In this research work, we are proposing an image processing based approach towards enhancing ray casting technique’s object distinction process. The ray casting architecture is modified to accommodate object membership information generated by a K-means based hybrid segmentation algorithm. Object membership information is assigned to cubical vertices in the form of ID tags. An intra-object buffer is devised and coordinated with inter-object buffer, allowing the otherwise global rendering module to embed multiple local (secondary) rendering processes. A local rendering process adds two advantageous aspects to global rendering module. First, depth oriented manipulation of interpolation and composition operations that lead to freedom of interpolation method choice based on the number of available objects in various volumetric depths, improvement of LOD (level of details) for desired objects and reduced number of required mathematical computations. Second, localization of transfer function design that enables the utilization of binary (non-overlapping) transfer functions for color and opacity assignment. A set of image processing techniques are creatively employed in the design of K-means based hybrid segmentation algorithm.
format Thesis
author Irani, Arash Azim Zadeh
author_facet Irani, Arash Azim Zadeh
author_sort Irani, Arash Azim Zadeh
title Segmentation Assisted Object Distinction For Direct Volume Rendering
title_short Segmentation Assisted Object Distinction For Direct Volume Rendering
title_full Segmentation Assisted Object Distinction For Direct Volume Rendering
title_fullStr Segmentation Assisted Object Distinction For Direct Volume Rendering
title_full_unstemmed Segmentation Assisted Object Distinction For Direct Volume Rendering
title_sort segmentation assisted object distinction for direct volume rendering
publishDate 2013
url http://eprints.usm.my/43239/1/ARASH%20AZIM%20ZADEH%20IRANI24.pdf
http://eprints.usm.my/43239/
_version_ 1643710697076424704
score 13.211869

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