| 一种多小波滤波器在医学图像融合中的应用 |
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| 引用本文： | 王修信,胡维平,李永军. 一种多小波滤波器在医学图像融合中的应用[J]. 计算机工程与应用, 2007, 43(15): 198-200 |
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| 作者姓名： | 王修信 胡维平 李永军 |
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| 作者单位： | 广西师范大学,计算机科学与信息工程学院,广西,桂林,541004;遥感科学国家重点实验室,北京,100875;环境遥感与数字城市北京市重点实验室,北京,100875;北京师范大学,地理学与遥感科学学院,遥感与地理信息系统研究中心,北京,100875;广西师范大学,计算机科学与信息工程学院,广西,桂林,541004;河南大学,物理与信息光电子学院,河南,开封,475001 |
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| 基金项目： | 国家自然科学基金 , 广西科学基金 |
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| 摘 要： | 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。
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| 关 键 词： | 医学图像 滤波器构造 多小波变换 图像融合 多层能量加权 |
| 文章编号： | 1002-8331（2007）15-0198-03 |
| 修稿时间： | 2006-12-01 |
Application of multiwavelet filter in medical image fusion |
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| WANG Xiu-xin,HU Wei-ping,LI Yong-jun. Application of multiwavelet filter in medical image fusion[J]. Computer Engineering and Applications, 2007, 43(15): 198-200 |
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| Authors: | WANG Xiu-xin HU Wei-ping LI Yong-jun |
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| Affiliation: | 1.College of Computer Science and Information Technology，Guangxi Normal University，Guilin，Guangxi 541004，China 2.State Key Laboratory of Remote Sensing Science，Beijing 100875，China 3.Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities，Beijing 100875，China 4.Research Center for Remote Sensing and GIS，School of Geography，Beijing Normal University，Beijing 100875，China 5.School of Physics and Information Optoelectronics，Henan University，Kaifeng，Henan 475001，China |
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| Abstract: | 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 muhiwavelet 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.h 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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| Keywords: | medical image filter design multiwavelet transform image fusion multilevel energy weight |
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