摘要
现有插值方法在进行医学断层图像插值时 ,不能兼顾灰度和形状的变化 .为解决这一问题 ,文中提出一种基于小波的医学图像插值算法 .通过对原图进行小波变换 ,获得图像边缘对应小波系数的位置信息 ,在断层图像的相应小波系数之间进行强度和位置插值 ,使新的图像不仅在灰度上 ,而且在组织形状上 ,介于原来的断层图像之间 ,满足了医学图像插值的要求 .与线性插值、克立格插值相比 ,新算法的视觉效果好 ,计算误差小 。
In the case of medical image interpolation for 3D volume models, present methods lack the capability of interpolating gray levels and shapes at the same time. In order to solve the problem, the paper introduces a wavelet based medical image interpolation algorithm. Firstly, the algorithm decomposes the original images with wavelet analysis and obtains the positions of wavelet coefficients that belong to the edges. Then, the algorithm interpolates intensities and positions of those wavelet coefficients between corresponding wavelet sub images. So that the new image basically satisfies the requirements of medical image interpolation. Compared with linear interpolation and Kriging interpolation, the new algorithm has a good visual effect and the squared error is small. The interpolation can be effectively used to construct 3D volume models.
出处
《自动化学报》
EI
CSCD
北大核心
2002年第5期722-728,共7页
Acta Automatica Sinica
基金
卫生部 B类研究项目"人工膝关节置换虚拟手术"(98-2 -3 1 5 )
国家自然科学基金(60 0 72 0 2 9)资助
