Image segmentation methods and edge detection: An application to knee joint articular cartilage edge detection
Image segmentation is the process of partitioning a digital image into multiple segments and regions for further processing. Edge detection methods are widely used in the area of image processing for feature detection and extraction. In this paper we use human’s Knee MRI (Magnetic resonance imagin...
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Little Lion Scientific Islamabad Pakistan
2015
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my.iium.irep.410612021-01-25T08:28:55Z http://irep.iium.edu.my/41061/ Image segmentation methods and edge detection: An application to knee joint articular cartilage edge detection Mahmood , Nadeem Shah, Asadullah Waqas, Ahmad Abubakar, Adamu Kamran, Shafia Zaidi, Syed Baqar NA2728 Computer-aided design Image segmentation is the process of partitioning a digital image into multiple segments and regions for further processing. Edge detection methods are widely used in the area of image processing for feature detection and extraction. In this paper we use human’s Knee MRI (Magnetic resonance imaging) images of patients and applied various image segmentation and edge detection methods for knee cartilage visualization. Also this paper focuses on providing an overview of important concepts, methods and algorithms commonly used for image segmentation and edge detection with focus on knee joint articular cartilage image segmentation and visualization Little Lion Scientific Islamabad Pakistan 2015-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/41061/1/10Vol71No1.pdf Mahmood , Nadeem and Shah, Asadullah and Waqas, Ahmad and Abubakar, Adamu and Kamran, Shafia and Zaidi, Syed Baqar (2015) Image segmentation methods and edge detection: An application to knee joint articular cartilage edge detection. Journal of Theoretical and Applied Information Technology, 71 (1). pp. 87-96. ISSN 1992-8645 (Print) 1817-3195 (Online) http://www.jatit.org/index.php |
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NA2728 Computer-aided design Mahmood , Nadeem Shah, Asadullah Waqas, Ahmad Abubakar, Adamu Kamran, Shafia Zaidi, Syed Baqar Image segmentation methods and edge detection: An application to knee joint articular cartilage edge detection |
description |
Image segmentation is the process of partitioning a digital image into multiple segments and regions for
further processing. Edge detection methods are widely used in the area of image processing for feature
detection and extraction. In this paper we use human’s Knee MRI (Magnetic resonance imaging) images of
patients and applied various image segmentation and edge detection methods for knee cartilage
visualization. Also this paper focuses on providing an overview of important concepts, methods and
algorithms commonly used for image segmentation and edge detection with focus on knee joint articular
cartilage image segmentation and visualization |
format |
Article |
author |
Mahmood , Nadeem Shah, Asadullah Waqas, Ahmad Abubakar, Adamu Kamran, Shafia Zaidi, Syed Baqar |
author_facet |
Mahmood , Nadeem Shah, Asadullah Waqas, Ahmad Abubakar, Adamu Kamran, Shafia Zaidi, Syed Baqar |
author_sort |
Mahmood , Nadeem |
title |
Image segmentation methods and edge detection: An application to knee joint articular cartilage edge detection |
title_short |
Image segmentation methods and edge detection: An application to knee joint articular cartilage edge detection |
title_full |
Image segmentation methods and edge detection: An application to knee joint articular cartilage edge detection |
title_fullStr |
Image segmentation methods and edge detection: An application to knee joint articular cartilage edge detection |
title_full_unstemmed |
Image segmentation methods and edge detection: An application to knee joint articular cartilage edge detection |
title_sort |
image segmentation methods and edge detection: an application to knee joint articular cartilage edge detection |
publisher |
Little Lion Scientific Islamabad Pakistan |
publishDate |
2015 |
url |
http://irep.iium.edu.my/41061/1/10Vol71No1.pdf http://irep.iium.edu.my/41061/ http://www.jatit.org/index.php |
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1690370697437642752 |
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13.211869 |