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A New Method for Medical Image Registration Based on Wavelet Multi-scale Transform

机译:一种基于小波多尺度变换的医学图像登记的一种新方法

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摘要

Medical image registration is the first step for image fusion and other imaging process. Current registration algorithm can be divided into feature-based and statistic-based approaches. In this paper, feature points of medical image are detected by using wavelet multi-scale product firstly, then registration of feature points based on mutual information is introduced, and translation parameters are calculated by using Particle Swarm Optimization (PSO) algorithm. Experiments show that our method can reduce the computation of image registration while maintaining good accuracy.
机译:医学图像注册是图像融合和其他成像过程的第一步。目前的注册算法可以分为基于特征和基于统计的方法。在本文中,通过首先使用小波多尺度产品检测医学图像的特征点,然后引入了基于互信息的特征点的登记,并通过使用粒子群优化(PSO)算法来计算转换参数。实验表明,我们的方法可以减少图像配准的计算,同时保持良好的精度。

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