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
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;
Conference_Titel :
Image and Signal Processing (CISP), 2013 6th International Congress on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2763-0
DOI :
10.1109/CISP.2013.6744000