Feature Eztraction of Brain CT Image Based on Target Shape
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.
Shape Features Image Segmentation Feature Eztraction Medical Image
Chen Jia-lin He Hua-can Liu Cheng-xia
School of Computer Science and Technology, Beijing University of Posts and Telecommunications, Beiji School of Computer Science and Technology, Beijing University of Posts and Telecommunications, Beiji
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
3553-3556
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）