特征空间、几何变换、相似性测度以及优化算法是设计医学图象配准方法时要考虑的四个主要因素。
Many investigator explore in the domain. Medical images registration methods have four main factors: features space, geometry transformation, similarity, and optimizing algorithm.
本文使用UT算法来处理空间配准问题，并针对不同的UT采样策略进行比较分析。
In this paper, Unscented Transformation (UT) method is applied to space alignment problem, and different UT sampling strategies are analyzed.
首先给出空中移动平台传感器数据空间配准几何坐标转换算法；
The algorithm of coordinate conversion of airborne mobile sensor spatial registration is given.
本文提出的空间配准和空间变换算法已成功地应用于盈谷科技公司的伽利略手术导航系统中。
The spatial registration and spatial transformation algorithms proposed in this paper have been applied to the Galileo IGS System of Accurad Technology Ltd.
本文提出的空间配准和空间变换算法已成功地应用于盈谷科技公司的伽利略手术导航系统中。
The spatial registration and spatial transformation algorithms proposed in this paper have been applied to the Galileo IGS System of Accurad Technology Ltd.
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