Liver CT Image Segmentation by Local Entropy Method

摘要：

Computed tomography (CT) image has been widely used for liver disease diagnosis. Computer-assisted image processing can help doctors improving their diagnosis. The liver segmentation from CT image is the most basic and important technology for the following process. This paper discussed the property of local entropy, and proposed a liver CT image segmentation method, that can extracts the edge of the liver CT image. Then use the morphological method to detect the objects regions. The algorithm and method can effectively get the Liver image and the cancer location of the liver.

关键词： liver ct image local entropy morphology segmentation

作者: XU Yi LIU Zhong Ji Lin

作者单位: School of Computer Science and Engineering University of Electronic Science and Technology of China, Sichuan College of Architectural Technology Deyang, China Department of radiology, West china hospital, SiChuan University, 37 Guo Xue Xiang, ChengDu, 610041

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 591-594

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）