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A Novel Medical Image Registration Algorithm Based on PSO and Wavelet Transformation Combined with 2v-SVM

机译:一种基于PSO和小波变换的新型医学图像登记算法与2V-SVM相结合

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In order to realize fast, precise and robust image registration, we proposed a new registration method, which is based on image feature extraction by wavelet transform combined with 2v-SVM and Particle Swarm Optimization (PSO) algorithm. We made the affine transform between the source image target image, took Mutual Information (MI) as the Similarity Metric and extracted the feature points of the two images by wavelet transform combined with 2v-SVM; finally we can obtain the optimal transform parameters using the PSO algorithm. Our experiment results show that the proposed registration algorithm is effectively and advantaged.
机译:为了实现快速,精确和鲁棒的图像配准,我们提出了一种新的注册方法,基于小波变换与2V-SVM和粒子群优化(PSO)算法的图像特征提取。我们使源图像目标图像之间的仿射变换,以互信息(MI)作为相似度度量,并通过小波变换与2V-SVM组合的两个图像的特征点;最后,我们可以使用PSO算法获得最佳变换参数。我们的实验结果表明,建议的登记算法有效和优点。

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