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A Novel Wavelet Medical Image Fusion Method

机译:一种新型小波医学图像融合方法

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摘要

This paper proposes a novel global energy merging scheme that is a region-based analysis approach. At first, multi-resolution wavelet decomposition on each source image is performed, and then the energy of the each 3*3 matrix region is calculated. The match measure can produce using wavelet decomposition coefficient and the energy. The three high frequency coefficients of the merging image produce through comparing match measure of several source images. And the low frequency coefficient lies on the choice of the three high frequency coefficient. Finally, by applying the inverse wavelet transform the final fused image is obtained The composite images can preserve more relevant information about the edges. Experiments showed that the proposed wavelet image fusion method can have better performance than existing medical image fusion methods.
机译:本文提出了一种新的全球能源合并方案,是基于地区的分析方法。首先,执行在每个源图像上的多分辨率小波分解,然后计算每个3×3矩阵区域的能量。匹配措施可以使用小波分解系数和能量产生。通过比较若干源图像的匹配量度来产生合并图像的三个高频系数。并且低频系数在于选择三个高频系数的选择。最后,通过施加逆小波变换,获得最终熔融图像,复合图像可以保持关于边缘的更多相关信息。实验表明,所提出的小波图像融合方法可以具有比现有的医学图像融合方法更好的性能。

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