配准参数搜索作用SPSA算法和鲍威尔算法相结合的优化策略。
SPSA algorithm and Powell algorithm were combined to optimize the parameter searching process.
通过迭代求解法和高斯金字塔模型，快速精确地估计得到配准参数，采用凸集投影（POCS）算法对图像序列进行了超分辨率重建。
Based on the set theoretic formulation, a projection onto convex sets (POCS) algorithm is applied to find the solution to face image reconstruction.
运动参数估计在图像配准，电子稳像以及图像拼接中起着很重要的作用，其中块匹配算法是经常使用的一种方法。
Motion parameter estimation play an important role in image matching, electric image stabilizing and image Mosaic, and the block-matching algorithm is the most used method.
利用仿射变换作为变换模型，根据变换参数将输入图像与参考图像进行配准。
The affine transform as a model to register input image and referenced image based on the parameters of transform were used.
图像配准问题归结为对齐度的最大化，这成为一个典型的多维全局参数优化问题。
Image registration then changes to the maximization of alignment metric. This is a typical multi-dimensional global parameter optimization problem.
提出一种基于互信息的视网膜眼底图像配准方法，并采用遗传算法求解待配准图像的变换参数。
A new registration method based on mutual information has been proposed for retinal fundus images, using genetic algorithms to solve transformation parameters.
通过这些稀疏的配准结果，可以估计出立体像对的最大最小视差以及灰度相关阈值等参数，用于稠密配准中。
The matching result can be used to estimate the maximum and minimum disparity, gray correlation threshold and some other parameters which play important roles in dense matching.
印鉴参数计算的精度决定着配准程度和印鉴识别率。
The precision of the seal parameter calculation determines the match degree and the seal verification rate.
对参数配准，主要讨论它们各自不同的方法和适合处理的图像对；
The registration methods under review are classified into two categories: parametric image registration and non-parametric image registration.
针对图像配准中的亚像素参数估计问题，提出了一种相位相关和模板匹配相结合的方法。
In order to deal with the problem of the estimation of image registration parameter, this thesis ADAPTS the way of combining the methods of phase correlation and template matching.
针对图像配准中的亚像素参数估计问题，提出了一种相位相关和模板匹配相结合的方法。
In order to deal with the problem of the estimation of image registration parameter, this thesis ADAPTS the way of combining the methods of phase correlation and template matching.
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