Method Under extreme rigid registration condition, correlation coefficient, mutual information and correlation ratio similarity measures were tested as most suitable similarity measures.
方法在极端的刚体配准条件下，检验出互相关系数，互信息和相关比相似性测度为适合的相似性测度。
The consistency registration algorithm, which used local cross correlation coefficient as the similarity metric, was proposed.
提出一种利用局部互相关系数作为相似性测度的灰度一致性配准算法。
The consistency registration algorithm, which used local cross correlation coefficient as the similarity metric, was proposed.
提出一种利用局部互相关系数作为相似性测度的灰度一致性配准算法。
应用推荐