image registration

In general, according to the analysis of different angles, image registration have a variety of classifications.

一般来说, 依据不同的分析角度, 图像配准有多种分类方法.

Cradle Image Correction Method for CT Scout Scan Based on Image Registration

基于图像配准的CT定位像床板影校正

Describes the development of vola-massage software, especially image registration algorithm for reflexive region locating.

本文介绍了一种足疗软件的开发，重点介绍了用于反射区定位的图像配准算法。

A new correlation ratio similarity measure in voxel intensity based medical image registration field was adopted.

在基于体素灰度的医学图像配准领域,本文采用了全新的相关比相似性测度作为配准的测度准则.

PDF-Based on the characteristics of high-precision automatic image registration methods.

基于特征的 高精度自动 图像配准方法.

It was explained why mutual information, but not correlation ratio based medical image registration be easily trapped in the local optimization maximum.

同时进一步解释了基于互信息相似性测度的医学图像配准易于陷入局部最优，而基于相关比相似性测度的方法易于保证配准得到全局最优。

Image registration source code VC. There are interactive interface. Good use.

图像配准VC源代码. 有界面交互. 很好用.

The Application Research of Optical Flow Method in Target Volume Motion Image Registration

光流法在靶区运动图像配准中的应用研究

Secondly, we applied this method in 3 D-MR image registration.

其次, 将图像配准研究应用于3D-MR图像配准.

On the base of this method, we propose a TFT-LCD micro defect detection based on the image substraction method and sub-pixel image registration.

在此基础上，提出基于差影法和亚像素级图像配准的TFT-LCD微米级缺陷自动检测算法，实现TFT-LCD微米级缺陷的快速自动检测。

Principal axes method for three-dimensional image registration

主轴法在三维图像匹配中的应用

A fast image registration technique in digital subtraction angiography with cross template

基于十字模板的数字减影图像配准快速算法

Medical image registration is fundamental to many applications of computer vision and medical image analysis.

医学图像配准是人体可视化和医学图像分析的基础.

An improved image registration method based on pseudoperspective model and nonparametric function was presented.

提出了一种基于仿透视函数模型和相机响应参数模型共同作用下图像配准算法.

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。

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.

Non-iterative automatic image registration method based on gradient phase correlation is proposed.

提出了 非 迭代的基于梯度相位相关的图像自动配准方法.

Based on computer image processing technology, image registration methods and print quality detection methods are introduced in this dissertation in detail.

本文从计算机图像处理技术出发，详细介绍了图像配准和印刷质量检测技术。

Finally with the correct feature point matching for image registration implementation.

最后用正确的特征点匹配对实现图像的配准.

In the field of Image mosaic, the current main mosaic methods include: feature extraction-based image registration, including the corner and contour extraction; phase correlation-based registration in frequency domain; registration based on pixel intensity.

在图像拼接领域，当前主要的图像拼接方法有：基于特征提取的图像配准，主要包括图像的角点和轮廓的提取；基于相位相关的频域配准；基于像素灰度值配准。

An algorithm based on image registration for automatic target recognition in complex environment

基于图像配准的复杂背景下自动目标识别算法

Geometry correction, image registration and fusion of bistatic through wall SAR are investigated.

研究了双基地穿墙SAR的图像几何失真校正、配准与融合问题。

An automatic approach of image registration is developed to register the multi _ temporal images of different sensors.

研究了一种自动几何配准的方法,来实现多时相的卫星资料和不同遥感资料之间的几何配准.

The Multi-Resolution Image Registration Algorithm for Digital Subtraction Angiography

多分辨率的数字减影图像配准算法

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.

The technique of image registration is the basis of super-resolution reconstruction and image fusion.

图像配准是超分辨率重建、图像融合的基础.

Research on Image Registration and Mosaic Based on SURF

基于SURF的图像配准与拼接技术研究

We can show all kind of images fall together with the help of information fusion technology based on medical image registration. Fusion image can show all kind of information of body in only one image, which making the best use of the advantage of each image modality.

借助于医学图像配准技术和信息融合技术，可将各种模式图像融合起来进行显示，充分利用各种图像的信息优势，在一幅图像上同时表达来自人体的多方面信息。

Experiments help illustrate this scheme is an effective non-rigid image registration approach.

实验结果表明,该方法是一种理想的 非 刚性图像自动配准方法.

Test results show that the method greatly improved Hausdorff distance-based image registration of the computing speed.

试验结果表明,这些改进方法较大地提高了基于Hausdorff距离的图像配准的计算速度.