文件名称:waveletfilter
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医学图像融合为临床诊断、手术设计与效果评估等提供不同模态影像互补信息。构造具有3 阶消失矩的双正交多小波滤
波器, 其以高斯函数一次泰勒规范展开正交化后得到的完备二次单位正交基作为尺度函数。利用构造的多小波滤波器, 分别对
CT、MRI 医学图像进行分解, 使用基于多小波分解改进的局部能量加权规则融合图像。结果表明改进规则融合了源图像主要信息,
优于常用的融合规则。应用构造的多小波滤波器可有效地融合医学图像, 略优于DGHM多小波-Medical image fusion provides complementary information of the different modal images for diagnosis, surgery design
and evaluation.Therefore, complete unit orthogonal bases with second degree were obtained by orthonormalizing first order Taylor
expansion of Gauss function.The biorthogonal multiwavelet filter with third order vanished moment was designed with the bases as
scale functions.First CT and MRI medical images were discomposed with the designed filter.Then the fused scheme with local
energy weight was modified on the multilevel.Finally the fused image was obtained with the scheme.The result indicated the
fused image preserved the details of each input image successfully.It was more effective than the general fused scheme.The
designed filter can be used to fuse medical image efficiently, and is a little effective than DGHM multiwavelet
波器, 其以高斯函数一次泰勒规范展开正交化后得到的完备二次单位正交基作为尺度函数。利用构造的多小波滤波器, 分别对
CT、MRI 医学图像进行分解, 使用基于多小波分解改进的局部能量加权规则融合图像。结果表明改进规则融合了源图像主要信息,
优于常用的融合规则。应用构造的多小波滤波器可有效地融合医学图像, 略优于DGHM多小波-Medical image fusion provides complementary information of the different modal images for diagnosis, surgery design
and evaluation.Therefore, complete unit orthogonal bases with second degree were obtained by orthonormalizing first order Taylor
expansion of Gauss function.The biorthogonal multiwavelet filter with third order vanished moment was designed with the bases as
scale functions.First CT and MRI medical images were discomposed with the designed filter.Then the fused scheme with local
energy weight was modified on the multilevel.Finally the fused image was obtained with the scheme.The result indicated the
fused image preserved the details of each input image successfully.It was more effective than the general fused scheme.The
designed filter can be used to fuse medical image efficiently, and is a little effective than DGHM multiwavelet
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一种多小波滤波器在医学图像融合中的应用.pdf
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