计算机工程2011，Vol.37Issue(7)：237-240,4.DOI:10.3969/j.issn.1000-3428.2011.07.080
医学图像配准中基于图像梯度的灰度压缩
Grayscale Compression Based on Image Gradient in Medical Image Registration
周志勇 1张涛2
作者信息
- 1. 中国科学院长春光学精密机械与物理研究所,长春,130033
- 2. 中国科学院研究生院,北京,100049
- 折叠
摘要
Abstract
The accuracy of medical image registration based on mutual information can reach sub-pixel level, with high accuracy and good robustness.However, frequent involving a huge amount of floating-point calculation, the rate of registration is very slow and can not achieve real-time requirements of clinical use.Because the rate of mutual information is relative to the amount of gray-scales, this paper presents a method based on a nonlinear grayscale mapping method which uses the gradient information of the image.A different image is decomposited and recomposited by a wavelet.Experimental result shows the method can reduce the gray scale of a image at the premise of preserving the image details.Moreover, this algorithm reduces the registration time and maintain the accuracy of registration.关键词
灰度压缩/梯度/医学图像配准Key words
grayscale compression/ gradient/ medical image registration分类
信息技术与安全科学引用本文复制引用
周志勇,张涛..医学图像配准中基于图像梯度的灰度压缩[J].计算机工程,2011,37(7):237-240,4.
