期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：2
页码：1314
DOI：10.15680/IJIRSET.2016.0502021
出版社：S&S Publications
摘要：Image segmentation is often described as partitioning an image into a finite number of semantically non - overlapping regions. In medical applications, it is a fundamental process in most systems that support medical diagnosis, surgical planning and treatments. Generally, this process is done manually by clinicians, which may be time - consuming and tedious. To alleviate the problem, a number of segmentation methods have been proposed in the literature. In this paper, we present an overview on segmentation techniques for medical images. T his review provides details of automated segmentation methods, specifically the edge detection technique for segmentation discussed in the context of CT images
关键词：edge detection; computed tomography; ; ; image segmentation ; ; magnetic resonance ; imaging; ; ; medical ; image artifacts
