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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Little Lion Scientific Islamabad Pakistan
2015
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/41061/ http://irep.iium.edu.my/41061/ http://irep.iium.edu.my/41061/1/10Vol71No1.pdf |
| Summary: | 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 |
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