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Image segmentation methods and edge detection: An application to knee joint articular cartilage edge detection

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)

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Abstract

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

Item Type: Article (Journal)
Additional Information: 6566/41061
Uncontrolled Keywords: Image Segmentation, Feature Deduction, Feature Extraction, Edge Detection, Cartilage Visualization
Subjects: N Fine Arts > NA Architecture > NA2695 Architectural drawing and design > NA2728 Computer-aided design
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Information and Communication Technology > Department of Information System
Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User: Dr Adamu Abubakar
Date Deposited: 04 Mar 2015 09:50
Last Modified: 13 Jan 2016 14:35
URI: http://irep.iium.edu.my/id/eprint/41061

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