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Hybrid and multilevel segmentation technique for medical images

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.

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Abstract

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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: 4428/28485
Uncontrolled Keywords: Hybrid segmentation, Multi level Segmentation, Medical images, Template matching
Subjects: R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Prof Shihab Hameed
Date Deposited: 17 Jan 2013 15:16
Last Modified: 15 Jun 2017 15:58
URI: http://irep.iium.edu.my/id/eprint/28485

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