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Medical Image Fusion Algorithm Based on the Laplace-PCA

机译:基于Laplace-PCA的医学图像融合算法

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Medical image fusion processing, as an indispensable part of the modern medical treatment, has been used widely in clinic medicine. The Paper firstly describes the Gauss decomposition of the medical image and the establishment of the Laplace pyramid decomposition images, then fusing medical image using PCA fusion criteria, finally obtaining the fusion image based on the Laplace pyramid image reconstruction. The experimental results show that the algorithm can be complementary information of the CT image and MR image highlights, and has a good fusion effect.
机译:医学图像融合处理作为现代医学必不可少的一部分,已经在临床医学中得到了广泛的应用。本文首先描述了医学图像的高斯分解和拉普拉斯金字塔分解图像的建立,然后使用PCA融合准则融合医学图像,最后基于拉普拉斯金字塔图像重建获得融合图像。实验结果表明,该算法可以作为CT图像和MR图像高光的补充信息,具有良好的融合效果。

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