自动图像配准

基于广义特征点匹配的全自动图像配准

Automatic Image Registration Based on Matching of Feature Points in Broad Sense

基于信号互相关函数与神经网络的全自动图像配准算法

An Automatic Image Co-registration Algorithm Based on Signal Correlation Function and Artificial Neural Network

结论使用自动图像配准分割－计数法能够实现连续组织切片图像的准确配准，并且具有计算简单，速度快的优点。

Conclusion The method can rapidly accomplish the image registration task for serial tissue sections with simpler calculation processes .

自动图像配准又可分为基于区域和基于特征的两个方面。

Automatic image registration can be divided into two aspects : based on region and based on the characteristics .

但自动图像配准不是这些算法的简单组合应用，它有着完整的体系结构。

But automatic image registration is not the simple combination of these algorithms ; it has a complete architecture of itself .

分组实验表明，自动图像配准算法的运行时间较直接配准方法有了极大的改进，实现了算法的高效率。

Compared by direct registration method , Group results show that automatic image registration algorithm has been greatly improved , achieved high efficiency .

利用投影技术，针对功能磁共振时间序列图像，介绍了一种新的自动图像配准方法。

A new automatic image registration method was presented in this paper , which was based on projection technique and suitable for functional magnetic resonance imaging times series images .

面对数据量呈指数增长的全球遥感图像，研究快速、有效、高精度的自动图像配准算法成为遥感领域迫切需要解决的问题。

The amounts of remote sensing images of global coverage will grow exponentially . To study and achieve fast and effective automatic registration of these digital data with high accuracies has become a critical problem in remote sensing .

多分辨率的自动MRI图像配准

Multiresolution Optimization Algorithm for Automated Registration of MRI Images

用于墙地砖缺陷检测的自动精确图像配准方法

Precise Automatic Image Registration Method of the Defect Detection for Ceramic Tiles

一种准自动多传感器图像配准方法

A quasi-automatic method for multi-sensor image registration

一种准自动高精度图像配准算法

A Semiautomatic High-accuracy Algorithm for Image Registration