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- Image registration is a hot topic in computer vision and pattern recognition, it has great values in medical imaging and multimodal image fusion. 图像配准是计算机视觉和模式识别领域中的一项重要课题，在遥感探测、医学成像和基于多传感器融合的目标识别等研究中都有重大的应用价值。
- Multimodality image registration is a highlight of current research on medical image processing.It has important effect on clinical diagnoses and therapies. 多模态医学图像配准技术是目前医学图像处理中的研究热点,对于临床诊断和治疗有重要意义。
- Novel similarity measure based on arithmetic-geometric mean distance for multimodal image registration 基于算术-几何均值距离的多模态图像配准
- Multimodal images registration based on bandwidth matching 一种基于频带一致性的多模态图像校准算法
- multimodality image registration 多模图像配准
- multimodal image registration 多模图像配准
- Application of Adaptive Genetic Algorithm in Multimodality Image Registration 自适应遗传算法在多模图像配准中的应用
- Mutual information is an important method for multimodal medical image registration. 互信息是多模态医学图像配准的一种重要方法。
- Fundamentals of Medical Image Registration. 医学成像的限制基础。
- Keywords image registration;multimodality image;mutual information;virtual chinese human（VCH）; 图像配准;多模态图像;互信息;虚拟中国人;
- 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。
- Moreover,the errors in RCPs are one of main sources lowering the accuracy of image registration of uncorrected image. 在遥感影像配准过程中,通常假设控制点是“完美的”。
- Image registration is an important technique in image fusion and moving target detection (MTD). 摘要图像配准是图像融合、运动目标检测中的关键技术之一。
- An improved image registration algorithm was proposed to match the standard template and the being tested image. 提出了一种改进的图像配准算法对标准模板图像和待测图像进行匹配。
- Image registration process is presented and the method is validated by experiment of shifted image registration. 然后给出了图像配准的过程，并利用人工平移图像配准对该方法进行了实验验证。
- 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。
- Firstly, reference image is rotated to suit for the rotated multisensor image registration. 把控制点理论应用于灰度匹配得到的匹配点；
- Image registration is still in the state of development, and it has a long way for us to go in order to make accuracy, speediness and a... 但是,图像配准是一个尚处在发展阶段的学科,实现配准的精确化、快速化、自动化仍需要进一步的努力。
- A new algorithm of infrared and visible light image registration based on normalized mutual information（NMI） and wavelet transform is given. 摘要 针对灰度和图像特征存在较大差异的可见光和红外图像配准，给出了一种基于归一化互信息与小波变换相结合的快速图像配准算法。
- Objective To study a robust, accurate and effective processing method for digital subtraction angiography (DSA) image registration. 摘要目的研究一种实用性强、精度高、鲁棒性好的数字减影图像配准方法。
