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Medical image registration based on gray distribution correlation

机译:基于灰度分布相关的医学图像配准

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摘要

To improve the precision and time consuming of medical image registration, an image registration technique based on the registration measurement is developed and proposed. In this method, a new matching measurement based on gray distribution correlation of the images is proposed, this parameter quantifies aligning degree of two medical images. Comparing with other similarity measurement, such as normal mutual information, the calculation cost spent in this registration method is low. Experiment results show that this method is valid and fast. and enhance robustness of image registration.
机译:为了提高医学图像配准的精度和耗时,提出并提出了一种基于配准测量的图像配准技术。该方法提出了一种基于图像灰度分布相关性的新匹配度量,该参数量化了两个医学图像的对准度。与其他相似性度量(例如常规互信息)相比,此注册方法所花费的计算成本较低。实验结果表明该方法有效,快速。并增强图像配准的鲁棒性。

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