Region and active contour-based segmentation technique for medical and weak-edged images
One of the key requirement in image guided surgery (IGS)/ computer aided surgery (CAS) planning is accurate segmentation of the images concerned. It is also a challenging issue for the purpose of image analysis and understanding in general, and surgical intervention involving image guided surgery...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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American Association for Science and technology
2015
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/42847/ http://irep.iium.edu.my/42847/1/Region_and_Active_Contour-Based.pdf |
| _version_ | 1848782341538840576 |
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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 | One of the key requirement in image guided surgery (IGS)/ computer aided surgery
(CAS) planning is accurate segmentation of the images concerned. It is also a
challenging issue for the purpose of image analysis and understanding in general, and
surgical intervention involving image guided surgery (IGS) in particular. Thus, in this
paper, a technique employing two-stage segmentation in which one of the stage is also an
hybrid of two segmentation methods is developed for medical images in particular, and
weak-edged images in general. The first stage employs hybrid of multiple-thresholding
and correlation matching. The output image of the first stage was use as the input image
to the second stage to generate the final output using the modified Chan-Vese level-set
algorithm (MLSA). The results obtained is accurate as showed in figures 2, 3, and 4. |
| first_indexed | 2025-11-14T16:03:55Z |
| format | Article |
| id | iium-42847 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T16:03:55Z |
| publishDate | 2015 |
| publisher | American Association for Science and technology |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-428472017-11-17T03:59:22Z http://irep.iium.edu.my/42847/ Region and active contour-based segmentation technique for medical and weak-edged images Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha T Technology (General) One of the key requirement in image guided surgery (IGS)/ computer aided surgery (CAS) planning is accurate segmentation of the images concerned. It is also a challenging issue for the purpose of image analysis and understanding in general, and surgical intervention involving image guided surgery (IGS) in particular. Thus, in this paper, a technique employing two-stage segmentation in which one of the stage is also an hybrid of two segmentation methods is developed for medical images in particular, and weak-edged images in general. The first stage employs hybrid of multiple-thresholding and correlation matching. The output image of the first stage was use as the input image to the second stage to generate the final output using the modified Chan-Vese level-set algorithm (MLSA). The results obtained is accurate as showed in figures 2, 3, and 4. American Association for Science and technology 2015 Article PeerReviewed application/pdf en http://irep.iium.edu.my/42847/1/Region_and_Active_Contour-Based.pdf Aboaba, Abdulfattah A. and Hameed, Shihab A. and Khalifa, Othman Omran and Hassan Abdalla Hashim, Aisha (2015) Region and active contour-based segmentation technique for medical and weak-edged images. Computational and Applied Mathematics , 1 (3). pp. 71-78. http://www.aascit.org/journal/cam |
| spellingShingle | T Technology (General) Aboaba, Abdulfattah A. Hameed, Shihab A. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Region and active contour-based segmentation technique for medical and weak-edged images |
| title | Region and active contour-based segmentation technique for
medical and weak-edged images |
| title_full | Region and active contour-based segmentation technique for
medical and weak-edged images |
| title_fullStr | Region and active contour-based segmentation technique for
medical and weak-edged images |
| title_full_unstemmed | Region and active contour-based segmentation technique for
medical and weak-edged images |
| title_short | Region and active contour-based segmentation technique for
medical and weak-edged images |
| title_sort | region and active contour-based segmentation technique for
medical and weak-edged images |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/42847/ http://irep.iium.edu.my/42847/ http://irep.iium.edu.my/42847/1/Region_and_Active_Contour-Based.pdf |