Research of liver tumor extraction based on transparency.
- Author:
Wei FU
1
;
Hongxiao WAN
;
Ping XIONG
Author Information
1. Department of Computer Engineering, Jiangsu Vocational and Technical College of Finance & Economics, Huaian 223001, China. fuweixinyu1981@163.com
- Publication Type:Journal Article
- MeSH:
Algorithms;
Humans;
Image Enhancement;
methods;
Image Processing, Computer-Assisted;
methods;
Liver Neoplasms;
diagnostic imaging;
pathology;
Pattern Recognition, Automated;
methods;
Tomography, X-Ray Computed
- From:
Journal of Biomedical Engineering
2009;26(4):735-738
- CountryChina
- Language:Chinese
-
Abstract:
It is very difficult to use the conventional methods that are based on area and on border for extracting a region of intered such as liver tumor region with vague and irregular boundaries. This paper introduces Poisson matting that uses transparency (alpha value) as self-property of image and seeks its best result value to achieve the aim of extracting object. Meanwhile, this method is applied to the liver tumor CT picture experimental results. It makes improvement in two steps: computing image source a value; calculating foreground image F and background image B. Consequently, successful result is obtained.
