自动图像配准
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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
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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
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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 .
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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 .
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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 .
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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 .
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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 .
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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 .
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多分辨率的自动MRI图像配准
Multiresolution Optimization Algorithm for Automated Registration of MRI Images
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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
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一种准自动多传感器图像配准方法
A quasi-automatic method for multi-sensor image registration
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一种准自动高精度图像配准算法
A Semiautomatic High-accuracy Algorithm for Image Registration