Title :
A sub-pixel feature extraction method for CT image based on Zernike moments
Author :
Fang, Yinghan ; Xiao, Huiming ; Wang, Beilei
Author_Institution :
Shenyang Ligong Univ., Shenyang, China
Abstract :
This paper will combine Sobel operator with Zernike moments operator to extract the sub-pixel edge feature for liver CT images. Sobel operator can effectively smooth the noise, provide more intact edge feature, then propose a limited non-optimal suppression improved method based on the Zernike moments. By a large number of experiments, improved method increases the accuracy of feature extraction, besides the speed of extraction is very fast.
Keywords :
computerised tomography; edge detection; feature extraction; image resolution; liver; medical image processing; Sobel operator; Zernike moments operator; liver CT images; nonoptimal suppression improved method; sub-pixel edge feature; subpixel feature extraction method; Biomedical imaging; Clinical diagnosis; Computed tomography; Feature extraction; Gaussian noise; Image edge detection; Laplace equations; Liver; Medical diagnostic imaging; Pixel; Sobel operator; Sub-pixel; Zernike moments; feature extraction;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5487141
