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...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2012
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| 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 |
| _version_ | 1848779973379227648 |
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| 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. |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T15:26:17Z |
| format | Proceeding Paper |
| id | iium-28485 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:26:17Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-284852020-10-23T06:11:53Z 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 RC321 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 Proceeding Paper 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. |
| spellingShingle | RC321 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 |
| title | 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_short | Hybrid and multilevel segmentation technique for medical images |
| title_sort | hybrid and multilevel segmentation technique for medical images |
| topic | RC321 Neuroscience. Biological psychiatry. Neuropsychiatry |
| 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 |