Liver CT image segmentation by local entropy method

Author

Xu Yi ; Liu Zhong ; Lin, Ji

Author_Institution

Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

Volume

11

fYear

2010

fDate

22-24 Oct. 2010

Abstract

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.

Keywords

computerised tomography; entropy; image segmentation; medical image processing; object detection; computed tomography; computer-assisted image processing; liver CT image segmentation; local entropy method; morphological method; objects region detection; Cancer; Computed tomography; Entropy; Image edge detection; Image segmentation; Liver; Morphology; Liver CT image; Local entropy; morphology; segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Application and System Modeling (ICCASM), 2010 International Conference on

Conference_Location

Taiyuan

Print_ISBN

978-1-4244-7235-2

Electronic_ISBN

978-1-4244-7237-6

Type

conf

DOI

10.1109/ICCASM.2010.5623136

Filename

5623136