期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2013
卷号：6
期号：5
页码：39-48
出版社：SERSC
摘要：According to grayscale changing characteristics of the brain CT, this paper improves region growth algorithm on the basis of in-depth analysis of brain CT image. In order to get the best combination of the features, the algorithm that extracts the shape feature considering the adjacent parts is proposed based on the idea of chart transferring tree in the tree structure comprehensively. Compared with the traditional extracting algorithms which aim at the whole picture or a single part, the experiments show that the proposed algorithm can obtain a higher diagnostic accuracy.
关键词：Shape Features; Image Segmentation; Feature Extraction; Medical Image
