另外，针对进行相似性变换的目标也提出了一种新的候选目标模型，并用类似的梯度下降算法估计目标的平移向量和旋转角度。
Furthermore, a new candidate model is proposed that handles similarity transformation, and the corresponding MS algorithm can be obtained that estimates the translation vector and rotation Angle.
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.
由于分子子序列识别应用的局限性，在此基础上论文进而提出了基于快速沃尔什变换的两两相似性比对方法。
Because of the limitation of the above method, a new approach for alignment of two sequences based on fast Walsh transform is advanced.
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