图像配准依据的是图像之间的相似度。
Image registration is based on the similarity between the images.
目前图像配准技术可分为手工配准和自动配准。
Currently image registration technique can be divided into the handicraft technique and automatic technique.
介绍了计算机辅助全膝置换手术中图像配准方法。
This paper introduces the method of image registration in computer assisted surgery of total knee replacement.
提出一种基于十字模板的数字减影图像配准快速算法。
A new cross template was applied to the problem of image registration in digital subtraction angiography.
二维特征点的检测和提取是进行图像配准的关键技术。
The detection and extraction of feature points are the basis technology in image registration.
遥感图像的自动配准技术是目前图像配准研究的重点。
With the study of image registration recently, automatic registration of remote sensing image is becoming important.
本文结合霍夫变换和相位相关技术来处理图像配准问题。
In this paper, Hough transform and phase correlation was combined to solve the problem of image registration.
提出一种基于对齐度和模糊梯度相似性的图像配准方法。
A new approach for image registration is proposed based on alignment metric and fuzzy gradient similarity.
在遥感多图像配准过程中特征点的选择是一个关键的步骤。
Selecting the characteristic points is one of the critical steps during the image registration for remote sensing.
论文提出了一种利用图像配准和数字差影的快速预处理算法。
This article proposes a pretreatment algorithm based on image registration and digital subtraction.
配准测度的鲁棒性是图像配准过程中经常要考虑的问题之一。
The robustness of registration measures is one of the most frequently considered problems in image registration process.
给出了一种基于最大互信息和边缘互方差的医学图像配准算法。
Gives a new algorithm of medical image registration based on maximum of mutual information and edge correlative deviation.
本文描述了一种基于互信息的人脑mrPET图像配准方法。
In this paper is described an automated mutual information based method for human brain MR PET image registration.
方法提出了一种基于互信息和模拟退火算法的医学图像配准方法。
METHODS a multimodality medical image registration method based on mutual information and simulated annealing was presented.
图像配准方法基本可以分为基于灰度和基于特征这两大类图像配准方法。
Image registration methods are commonly classified into two types: the methods based on grey level information and the methods based on feature information.
传统的图像配准的相似性测度函数对噪声过于敏感，且需要先验知识约束。
Traditional resemblance measurement function is application-restricted since it is too sensitive to noise and is subject to prior knowledge.
本文首先研究了基于多模态刚性图像配准的图像定位系统的有关设计和实现。
Firstly, we researched the design and implementation of the image guided localization system based on multimodality image registration.
图像配准问题归结为对齐度的最大化，这成为一个典型的多维全局参数优化问题。
Image registration then changes to the maximization of alignment metric. This is a typical multi-dimensional global parameter optimization problem.
本文基于图像配准融合技术，研究了利用多幅普通图像合成高动态范围图像的方法。
Based on the image alignment and fusion technique, a method for fusing multiple photographs into a high dynamic range image is studied.
实验结果表明，改变模板形状后，图像配准速度显著加快，且减影图像质量保持良好。
Our results show significant improvement in calculation speed using the cross template while the quality of the resulting subtraction image remains high.
应用此算法求解医学图像配准的优化模型，可实现时间序列脑功能图像的高精度配准。
We find out higher accurate registration of the time series brain functional images by solving the images registration optimization problem.
介绍了一种基于傅立叶变换的配准方法：相位相关法，并把该方法应用于偏振图像配准中。
Fourier transform-based registration technique, the phase correlation method, is introduced. It is applied to register polarization images.
为了解决红外焦平面非均匀算法中出现的运动估值问题，提出了一种新的快速图像配准算法。
In order to solve the problem of motion estimation for nonuniformity correction of infrared focal plane arrays, a new fast algorithm for image registration is presented.
提出了一种基于空间关系一致性的图像自动配准方法，处理具有全局仿射变换的图像配准问题。
An automatic image registration method based on spatial relation consistency is proposed to deal with the registration of images with affine geometric distortion.
而弹性近似法充分考虑了整体平滑性的要求，对定位有误差的标志点约束的图像配准更为优越。
Another method is thin plate spline elastic approximation, which takes the overall smoothness of the whole image into account, hence it is better when errors of feature points exist.
提出一种基于互信息的视网膜眼底图像配准方法，并采用遗传算法求解待配准图像的变换参数。
A new registration method based on mutual information has been proposed for retinal fundus images, using genetic algorithms to solve transformation parameters.
基于互信息的全局配准算法是近年图像配准研究的热点之一，此法具有精度高、鲁棒性强的特点。
Mutual information (MI)-based global image registration has attracted much attentions in these years due to its high accuracy and robustness.
结论：采用特征提取和快速坐标变换的配准方法可较好地应用于数字化可视人数据集的图像配准。
Conclusion: the registration method of picking-up eigenvector and fast coordinate transformation is more applicable to register the dataset of digitized visible human.
结论：采用特征提取和快速坐标变换的配准方法可较好地应用于数字化可视人数据集的图像配准。
Conclusion: the registration method of picking-up eigenvector and fast coordinate transformation is more applicable to register the dataset of digitized visible human.
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