Hybrid and multilevel segmentation technique for medical images

In this paper, we present a novel, fast, hybrid and bi-level segmentation technique uniquely developed for segmentation of medical images. Medical images are generally characterized by multiple regions, and weak edges. When regions in medical images are viewed as made up of homogeneous group of inte...

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Main Authors:	Aboaba, Abdulfattah A., Hameed, Shihab A., Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha
Format:	Conference or Workshop Item
Language:	English
Published:	2012
Subjects:	RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Online Access:	http://irep.iium.edu.my/28485/ http://irep.iium.edu.my/28485/1/ACSAT2012-178-Hybrid_ML_Seg_for_Medical_Images-Shihab-Camera-H.pdf

id	iium-28485
recordtype	eprints
spelling	iium-284852017-06-15T07:58:43Z http://irep.iium.edu.my/28485/ Hybrid and multilevel segmentation technique for medical images Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry In this paper, we present a novel, fast, hybrid and bi-level segmentation technique uniquely developed for segmentation of medical images. Medical images are generally characterized by multiple regions, and weak edges. When regions in medical images are viewed as made up of homogeneous group of intensities, it becomes more difficult to analyze because quite often different organs or anatomical structures may have similar gray level or intensity representation. The complexity of medical imagery is well catered for in this technique by starting-out with multiple thresholding, applying similarity segmentation method, and resolving boundary problem with template matching technique, and then a region of interest (ROI) segmentation that involves finding the edges of the object of interest (OOI) at final stage. This technique can also be adapted to segmentation of non-medical images. A job is run using MATLAB and simple Grid computing as suitable environment. 2012-11 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/28485/1/ACSAT2012-178-Hybrid_ML_Seg_for_Medical_Images-Shihab-Camera-H.pdf Aboaba, Abdulfattah A. and Hameed, Shihab A. and Khalifa, Othman Omran and Hassan Abdalla Hashim, Aisha (2012) Hybrid and multilevel segmentation technique for medical images. In: International Conference on Advanced Computer Science Applications and Technologies (ACSAT), 2012, 26-28 Nov 2012, Kuala lumpur, Malaysia.
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
spellingShingle	RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Hybrid and multilevel segmentation technique for medical images
description	In this paper, we present a novel, fast, hybrid and bi-level segmentation technique uniquely developed for segmentation of medical images. Medical images are generally characterized by multiple regions, and weak edges. When regions in medical images are viewed as made up of homogeneous group of intensities, it becomes more difficult to analyze because quite often different organs or anatomical structures may have similar gray level or intensity representation. The complexity of medical imagery is well catered for in this technique by starting-out with multiple thresholding, applying similarity segmentation method, and resolving boundary problem with template matching technique, and then a region of interest (ROI) segmentation that involves finding the edges of the object of interest (OOI) at final stage. This technique can also be adapted to segmentation of non-medical images. A job is run using MATLAB and simple Grid computing as suitable environment.
format	Conference or Workshop Item
author	Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha
author_facet	Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha
author_sort	Aboaba, Abdulfattah A.
title	Hybrid and multilevel segmentation technique for medical images
title_short	Hybrid and multilevel segmentation technique for medical images
title_full	Hybrid and multilevel segmentation technique for medical images
title_fullStr	Hybrid and multilevel segmentation technique for medical images
title_full_unstemmed	Hybrid and multilevel segmentation technique for medical images
title_sort	hybrid and multilevel segmentation technique for medical images
publishDate	2012
url	http://irep.iium.edu.my/28485/ http://irep.iium.edu.my/28485/1/ACSAT2012-178-Hybrid_ML_Seg_for_Medical_Images-Shihab-Camera-H.pdf
first_indexed	2023-09-18T20:42:00Z
last_indexed	2023-09-18T20:42:00Z
_version_	1777409427190579200

Hybrid and multilevel segmentation technique for medical images

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