image rigid registration 图像刚性配准
non-rigid medical image 非刚性医学图像
non-rigid medical image registration 非刚性医学图像配准
Experiment result shows that the model is robust with the situation of partial occlusion, non-rigid image deformation and natural appearance changes.
试验结果表明:该模型对部分遮挡,非刚性变形,目标外观发生改变均不敏感。
There are two categories of methods for image registration: rigid and elastic.
图像的配准方法有多种,它们可以分为刚性和弹性配准两大类。
Substituting coordinates of all pairs of points into rigid transform equations, one could use least squares to get the rigid transform matrix from image space to surgical space.
将所有点对坐标值代入刚体变换线性方程组,用最小二乘法求出从图像空间到手术空间的刚体变换矩阵,最终实现医学图像标志点的自动识别和配准。
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