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Adaptive Point-Based Elastic Image Registration

机译:基于点的自适应弹性图像配准

摘要

A point-based elastic registration method for registering a first image and a second image. A number of prominent feature are identified within the first image using a SIFT algorithm (S1). Then, a single control point is placed (S2) with the source image region at the most prominent SIFT feature and optimal parameter settings in respect thereof are determined (S3) for performing elastic deformation (S4) in respect of the first image so as to optimise a similarity measure. Additional control points are then added (S6) one-by-one at the next most prominent SIFT features, and the elastic deformation process repeated each time (S8) in respect of the new control point set, until a predetermined stopping criterion is met, e.g. the resultant improvement in the similarity measure no longer exceeds some predetermined threshold value. Thus, a high speed, high quality registration method is provided without having to specify the number of control points initially.
机译:基于点的弹性配准方法,用于配准第一图像和第二图像。使用SIFT算法(S 1 )在第一张图像中识别出许多突出特征。然后,放置一个控制点(S 2 ),使源图像区域处于最突出的SIFT特征,并确定与其相关的最佳参数设置(S 3 )用于对第一图像进行弹性变形(S 4 ),以优化相似性度量。然后,在下一个最显着的SIFT特征上,一个接一个地添加其他控制点(S 6 ),并且每次在(S 8 )中重复一次弹性变形过程。关于新的控制点集,直到满足预定的停止标准,例如结果,相似性度量的改进不再超过某个预定阈值。因此,提供了一种高速,高质量的注册方法,而不必首先指定控制点的数量。

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