DocumentCode
3336911
Title
Denoising for liver CT image based on texture analysis
Author
Yan-xin Shi ; Yong-mei Cheng
Author_Institution
Sch. of Autom., Northwestern Polytech. Univ., Xi´an, China
Volume
01
fYear
2013
fDate
16-18 Dec. 2013
Firstpage
266
Lastpage
271
Abstract
The liver CT play an important role in the clinical diagnosis and treatment of liver disease. In this paper, we present a improved approach which introduce more information of texture image in the original NL-means algorithm. The improved algorithm keeps the excellent denioising function and preserving with edge, detail, especially the texture. The artificial artifact was also restrained effectively. The availability of the improved algorithm was validated for liver CT images by the experiment result.
Keywords
computerised tomography; diseases; image denoising; image texture; liver; medical image processing; NL-means algorithm; clinical diagnosis; image denoising; liver CT; liver disease treatment; texture analysis; Computed tomography; Filtering; Fractals; Liver; Noise reduction; PSNR; CT image; NL-means algorithm; artificial artifac; denoising;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2013 6th International Congress on
Conference_Location
Hangzhou
Print_ISBN
978-1-4799-2763-0
Type
conf
DOI
10.1109/CISP.2013.6744000
Filename
6744000
Link To Document