Image registration is based on the similarity between the images.
图像配准依据的是图像之间的相似度。
The detection and extraction of feature points are the basis technology in image registration.
二维特征点的检测和提取是进行图像配准的关键技术。
This article proposes a pretreatment algorithm based on image registration and digital subtraction.
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。
New concept of image registration is more accord with the comprehension of human beings on image match.
广义的图像匹配概念更符合人对于图像匹配的理解。
In this image registration method, with the help of relaxation algorithm, matching precision is improved.
在角点匹配过程中，采取了松弛算法来提高匹配精度，达到了好的配准效果。
A new cross template was applied to the problem of image registration in digital subtraction angiography.
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 approach for image registration is proposed based on alignment metric and fuzzy gradient similarity.
提出一种基于对齐度和模糊梯度相似性的图像配准方法。
Currently image registration technique can be divided into the handicraft technique and automatic technique.
目前图像配准技术可分为手工配准和自动配准。
In this paper, Hough transform and phase correlation was combined to solve the problem of image registration.
本文结合霍夫变换和相位相关技术来处理图像配准问题。
This paper introduces the method of image registration in computer assisted surgery of total knee replacement.
介绍了计算机辅助全膝置换手术中图像配准方法。
Selecting the characteristic points is one of the critical steps during the image registration for remote sensing.
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。
With the study of image registration recently, automatic registration of remote sensing image is becoming important.
遥感图像的自动配准技术是目前图像配准研究的重点。
A product correlation algorithm of image registration based on feature and spatial-temporal correlation was presented.
提出了基于特征和时空关联的积相关图像匹配算法。
The robustness of registration measures is one of the most frequently considered problems in image registration process.
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。
Gives a new algorithm of medical image registration based on maximum of mutual information and edge correlative deviation.
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。
METHODS a multimodality medical image registration method based on mutual information and simulated annealing was presented.
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。
Image registration is a fundamental task in image processing. It is the basic step for multi-image analysis of the same scene.
图像配准是图像处理领域的一个基本问题，它是同场景的多图像分析的基础。
In this paper is presented a method to extract the image ridge feature for image registration, and good results were obtained.
本文提供了一种提取图像脊特征，作为用于配准的特征量的方法，取得了良好效果。
Basically, the goal of image registration is to align images of same scene by removal of the potential geometrical distortion existed.
配准问题的目的就是将同一场景的不同图像对齐或匹配，消除存在的几何畸变。
Firstly, we researched the design and implementation of the image guided localization system based on multimodality image registration.
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。
Generally, this paper discusses three main steps of image mosaicing: image registration, reprojection manifold, and blending processing.
本文详细讨论了图像拼接的几个基本步骤：图像对准、再投影流形、平滑处理。
Mutual information (MI)-based global image registration has attracted much attentions in these years due to its high accuracy and robustness.
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。
The registration methods under review are classified into two categories: parametric image registration and non-parametric image registration.
对参数配准，主要讨论它们各自不同的方法和适合处理的图像对；
Based on the quantitative descriptions of registration curves, in this study, we propose an objective assessment method on image registration.
本文提出了一种基于配准函数曲线形状定量描述的客观评价方法。
Image registration then changes to the maximization of alignment metric. This is a typical multi-dimensional global parameter optimization problem.
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。
Medical image registration and merging is a new area in medical image processing the purpose is to provide more diagnostic information to the physicians.
医学图像的配准和融合是医学图像处理的一个新的领域，其目的是为医生提供更多的诊断信息。
In these years, multimodality medical image registration based on maximization of mutual information has been popular in medical image processing fields.
近年来基于最大互信息法的多模医学图象配准已成为医学图象处理领域的热点。
The experiments shows that image registration method based on control point is effective in image registration, and it has higher registration precision.
实验结果表明在该软件系统中采用基于控制点的配准方法可有效解决图像配准问题，而且具有较高的配准精度。
The experiments shows that image registration method based on control point is effective in image registration, and it has higher registration precision.
实验结果表明在该软件系统中采用基于控制点的配准方法可有效解决图像配准问题，而且具有较高的配准精度。
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