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

摘要：

This paper will combine Sobel operator with Zernike moments optrator 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 metbod increases the accuracy of feature extraction, besidts the speed of extraction is very fast.

关键词： Sobel operutor Zernike moments Sub-pixel featre extraction

作者: Yinghan Fang Huiming Xiao Beilei Wang

作者单位: Shenyang Ligong University No.6 Nan Ping Zhong Lu, Hun Nan Xin Qu,Shen Yang,Liao Ning.110159,China Multimedia Medical Information Technology Laboratory,Northeastern University Shenyang, China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 539-542

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）