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...

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Main Authors: Aboaba, Abdulfattah A., Hameed, Shihab A., Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha
Format: Article
Language:English
Published: American Association for Science and technology 2015
Subjects:
Online Access: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
id iium-42847
recordtype eprints
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
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T Technology (General)
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
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.
format Article
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 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_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_sort region and active contour-based segmentation technique for medical and weak-edged images
publisher American Association for Science and technology
publishDate 2015
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
first_indexed 2023-09-18T21:01:03Z
last_indexed 2023-09-18T21:01:03Z
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