文章基本信息

标题：IMAGE SEGMENTATION METHODS AND EDGE DETECTION: AN APPLICATION TO KNEE JOINT ARTICULAR CARTILAGE EDGE DETECTION
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作者：NADEEM MAHMOOD ; ASADULLAH SHAH ; AHMAD WAQAS 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2015
卷号：71
期号：1
出版社：Journal of Theoretical and Applied
摘要：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.
关键词：Image Segmentation; Feature Deduction; Feature Extraction; Edge Detection; Cartilage Visualization