A research on medical image interpolation based on cubic convolution and adaptive interpolation

被引：0
|
作者：
Wang, Anna [1 ]
Luo, Kai [1 ]
Li, Peng [1 ]
Zhang, Xinhua [1 ]
机构：
[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Liaoning, Peoples R China
来源：
IMECS 2007: INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II | 2007年
关键词：
interpolation; convolution; gradient; sharpness; inverse gradient;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a new Medical Image Interpolation method by segmenting a medical image into two parts that are separately interpolated by different techniques based on Cubic Convolution Interpolation. Image interpolation is one of the most important technique which is be widely concerted! The medical image is larger than other images but also needs better processing. To solute the contradiction, we tried many ways and found the new interpolation method at last. In the simulations the proposed method exhibited a less edge distortion and not much more time than the conversational image interpolation.
引用
收藏
页码：536 / +
页数：2
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