Medical image registration and fusion is an indispensable part of modern medical treatment.
医学图像的配准与熔合是现代医疗中不可或缺的一部分。
Then the image mosaic is divided into three parts: image segmentation, image registration and fusion edge.
然后将图像拼接分为了三个部分：图像分割、图像匹配和边缘融合。
Remote sensing image registration and fusion is an important image processing technology in remote sense field.
遥感影像的配准与融合是遥感领域中的一项重要的图像处理技术。
Medical image registration and fusion is a crossing research topic of information science, computer image technology and modern medicine.
医学图像配准与信息融合是当代信息科学、计算机图像技术与当代医学等多学科交叉的一个研究领域。
This paper begins with the concepts and popular methods of image registration and fusion, and then analyzes its current research situation.
本文首先介绍了图像配准与融合的概念与主流方法，分析了研究现状。
The design and implementation for "Multi-sensors Remote Sensing Image Registration and Fusion System" software are finished in the project and can fulfill the primary application demands.
结合相关课题的研究，设计并实现了“多源遥感影像配准与融合系统”，初步满足了应用的需求。
Registration between tactile and visual image for remote-control robot is a critical technology in these two images fusion.
遥操作机器人触觉与视觉图像的配准是这两种图像信息融合的关键技术。
The re- search proves that the fusion result of the method is more exact and more suitable to arbitrary medical image fusion with different equipment because of no registration.
研究证明，使用该方法不仅融合的结果更加准确有效，而且无需配准，适用于任意的医学成像设备的影像融合。
Zhendui different field of multi-source image fusion, we propose a affine transformation and linear combination of registration methods;
针对不同视场的多源图像融合技术，本文提出一种仿射变换和线性插值相结合的配准方法；
Image Edge detection and image registration is a key step and the necessary prerequisite of image fusion.
图像边缘检测和图像配准是图像融合的关键步骤和必要前提。
Image registration is an important subject in medical image processing. It is fundamental for image matching with atlas, image fusion and micrograph reconstruction.
医学图像配准是医学图像处理中的一个重要研究课题，它是图像融合、图像与标准图谱的匹配、显微图像的重建等研究的基础。
Medical image registration, as the prerequisite for medical image fusion, is a hot field in the medical image processing and commonly used for clinical diagnosis and treatment.
医学图像配准是医学图像融合的前提，是目前医学图像处理中的热点，具有重要的临床诊断和治疗价值。
Image registration is an important step of image fusion, change detection and target recognition in remote-sensing applications.
图像配准是图像融合、变化检测、目标识别等遥感应用中的重要步骤。
Results: the image fusion was capable to balance registration error and could reserve the anatomical and functional information to a great extent.
结果：使得融合后图像有很强的抗配准偏差能力，并且能极大程度地保留原来解剖性信息图像和功能性图像的信息。
Using the image registration technology and fusion technology, vehicles image collected by two homogeneity sensors are registered and fused;
利用图像配准技术和融合技术，对两个同质传感器拍摄的车辆图像进行配准和融合。
The new image which is integrated from different modes images called the medical image fusion and the first step of fusion is image registration.
这种将不同模式的图像信息整合成一种新模式的图像称为医学图像的融合，而融合的第一步先要配准。
The common image registration methods and image fusion methods are introduced, and their performance as well as the existing problems is analyzed.
分析和总结了现有的图像拼接的主要方法、性能以及存在的问题。
The common image registration methods and image fusion methods are introduced, and their performance as well as the existing problems is analyzed.
分析和总结了现有的图像拼接的主要方法、性能以及存在的问题。
应用推荐