插值是图像配准中的一个重要步骤。
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.
这些误差必然会影响图像配准、合成等。
The error has an effect on image registration and synthesizing .
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.
提出一种基于快速模拟退火的噪声图像配准算法。
A registration algorithm for noisy image is proposed in this paper.
本文综述了基于互信息的医学图像配准技术和应用。
This paper summarize the technology and application of mutual information based medical image registration.
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.
基于互信息的医学图像配准算法近来获得了广泛的应用。
The medical image registration method based on mutual information has been widely used recently.
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.
基于特征的图像配准方法，是研究较早较成熟的一种方法。
Much research has been made on feature based image registration.
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.
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.
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.
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