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- Fundamentals of Medical Image Registration. 医学成像的限制基础。
- This article briefed the conception of medical images registration and its classification and applications in the fields of neurosurgery. 本文简述了医学影像融合的概念和分类及其在神经外科领域内的应用。
- This paper discusses image registration technique in details.Based on mutual information between images, we register multimodality medical images. 本文深入研究了医学图像配准的相关技术,应用图像互信息最为配准准则,对核磁共振、超声等多模态图像进行了配准。
- A hybrid non-rigid method is presented based on B-splines interpolation function and landmarks of the image for human brain MR images registration. 摘要提出了一种B样条插值函数结合图像特征标记的人脑MR图像非刚体配准方法。
- Synthetic aperture radar (SAR) is affected by speckle noise seriously.It is difficult to use the classic means for optical images when we perform SAR images registration and change detection. 摘要合成孔径雷达(SAR)图像由于受相干斑噪声的影响,在对其进行配准及变化检测时,经典的适于光学图像的方法效果不佳。
- A contour-based multisensor image registration algorithm is presented.The geometrical deformation between the input images is supposed to be rigid transformation. 摘要提出了一种基于轮廓的多传感器图像配准算法,输入图像之间的几何变换假设为刚体变换。
- 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。
- 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。
- 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。
- Extraction of cerebrum from raw MRI volume data is an important work for visualization of human brain, analysis of morphology and image registration. 将人的大脑从MR图像体数据中提取出来是脑的可视化、形态学分析、脑图象配准等多种工作的重要基础。
- The algorithm has been applied on noisy MR mono-modality,PET mono-modality and MR-PET multimodality medical image registration. 最后将此法应用于加噪MR图像单模配准、PET图像单模配准和MR-PET图像多模配准的。
- 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。