基于特征和基于变换域的图像配准算法。
Based on the characteristics and transform domain-based image registration algorithm.
提出一种基于快速模拟退火的噪声图像配准算法。
A registration algorithm for noisy image is proposed in this paper.
提出一种基于快速模拟退火的噪声图像配准算法。
提出了一种用于机载凝视红外图像序列的配准算法。
A registration algorithm for airborne staring ir systems is proposed.
基于互信息的医学图像配准算法近来获得了广泛的应用。
The medical image registration method based on mutual information has been widely used recently.
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。
Gives a new algorithm of medical image registration based on maximum of mutual information and edge correlative deviation.
选择基于仿射不变量的RANSAC配准算法，作为粗配准算法。
We select the RANSAC algorithm based on affine invariant as the coarse registration algorithm.
针对产品包装印刷质量检测，文中提出了一种新的图像配准算法。
In this paper, a new rapid method of image registration for inspection of package printing is developed.
但ICP配准算法的收敛速度较慢，且不能保证收敛到全局最优点。
But the convergence speed is still slow and the ICP algorithm may not converge to a global minimum.
结论本文提出的三维标测配准算法能够实现心脏三维标测中的配准。
Conclusion This proposed three-dimension mapping registration algorithm well realizes the registration in three-dimension cardiac mapping and has practical application values.
提出一种利用局部互相关系数作为相似性测度的灰度一致性配准算法。
The consistency registration algorithm, which used local cross correlation coefficient as the similarity metric, was proposed.
提出了一种基于地心坐标系（ECEF）的传感器极大似然配准算法。
An maximum likelihood registration algorithm based on earth-centered earth-fixed (ECEF) coordinate system is presented.
针对基于相位测量轮廓术得到的三维数据点，研究了三维点云配准算法。
Registration algorithms for 3-d point cloud are investigated, given the unwrapped phase map computed based on phase measurement profilometry.
本文研究了两种图像配准算法：基于特征和基于变换域的图像配准算法。
In this paper, two image registration algorithm: Based on the characteristics and transform domain-based image registration algorithm.
为了使融合结果更加准确可靠，提出了基于无偏转换的雷达误差配准算法。
For the better optimization of fusion results, the radar registration algorithm based on unbiased transformation was brought forward.
本文以上述问题为依据，围绕应用于图像导航的配准算法为关键技术展开研究。
This study focuses on applying registration algorithm as the key technology in navigation image based on the above issues.
提出了一种基于角度和径向差分函数的抗平移、旋转以及尺度的图像配准算法。
An algorithm is proposed for registering images related by translation, rotation, and scale based on angular and radial difference functions.
在上述改进的角点检测算法基础上，本文提出了结合区域匹配的图像自动配准算法。
Based on the improved corner detection algorithm, an image automatic registration method combined corner detection and area-based matching was developed.
为了准确、可靠地配准多模态医学图像，提出了一种基于互信息的全局优化配准算法。
A global optimization method based on mutual information is proposed for multimodality medical image registration.
本文研究了基于最大互信息和图象梯度组合的人脑CT与MRI多模医学图象配准算法。
This paper aims to research registration of CT and MRI images of caput based on gradient and normalized maximization mutual information method.
本论文中：研究了基于位操作运算的快速二值化的高动态图像配准算法(MTB算法)。
In this thesis, we: Study a high-dynamic image registration algorithm (MTB algorithm) based on the rapid bit operation of computing binarization image.
最后将基于机器学习的框架和现有的配准算法相结合，完成立体核磁共振脑图像弹性配准。
Finally, the machine learning based frame is combined with the existing registration arithmetic to complete the elastic registration of stereo NMR brain images.
为了解决红外焦平面非均匀算法中出现的运动估值问题，提出了一种新的快速图像配准算法。
In order to solve the problem of motion estimation for nonuniformity correction of infrared focal plane arrays, a new fast algorithm for image registration is presented.
论文把RANSAC粗配准算法与ICP精确配准算法相结合，具有较高的收敛速度和鲁棒性。
When the ICP algorithm combines with RANSAC algorithm, the registration is high-speed and robust.
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。
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。
Mutual information (MI)-based global image registration has received many attentions these years due to its high accuracy and robustness .
为了有效地解决不存在明确对应关系的点云配准问题，提出了一种基于点云几何特征的配准算法。
Aiming at the problem of point clouds registration without prior information on transformation, a novel registration algorithm is proposed based on geometric properties of point clouds.
目前，应用最普遍的数据配准算法是最近点迭代（ICP）算法，它采用迭代方式逐渐逼近最佳结果。
Nowadays, the most popular registration algorithm is the ICP algorithm, which utilizes iterative method to approach the best result.
目前，应用最普遍的数据配准算法是最近点迭代（ICP）算法，它采用迭代方式逐渐逼近最佳结果。
Nowadays, the most popular registration algorithm is the ICP algorithm, which utilizes iterative method to approach the best result.
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