A Sub-pixel Feature Extraction Method for CT Image Based on Zernike Moments

被引：0
|
作者：
Fang, Yinghan [1 ]
Xiao, Huiming [2 ]
Wang, Beilei [2 ]
机构：
[1] Shenyang Ligong Univ, 6 Nan Ping Zhong Lu, Shenyang 110159, Liao Ning, Peoples R China
[2] Northeastern Univ, Multimedia Med Informat Technol Lab, Shenyang, Peoples R China
来源：
2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL. 3 | 2010年
关键词：
Sobel operator; Zernike moments; Sub-pixel; feature extraction;
D O I：
10.1109/ICACC.2010.5487141
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：539 / 542
页数：4
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