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A SIFT-Based Approach for Image Registration

机译:基于SIFT的图像配准方法

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摘要

Over the past several decades, image registration has emerged as one of the key technologies in medical image computing with applications ranging from computer assisted diagnosis to computer aided therapy and surgery. In this paper, we present a new method for medical image registration, which is based on the Scale-invariant feature transform (SIFT) and TPS. Our experimental results show that the proposed method could achieve greater competitive performance than TPS-based image registration technique.
机译:在过去的几十年中,图像配准已成为医学图像计算中的关键技术之一,其应用范围从计算机辅助诊断到计算机辅助治疗和手术。在本文中,我们提出了一种基于比例不变特征变换(SIFT)和TPS的医学图像配准新方法。我们的实验结果表明,与基于TPS的图像配准技术相比,该方法可以实现更高的竞争性能。

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