基于多分辨率的非参数正交多项式医学图像融合方法

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摘要基于估计理论的图像融合方法都是假设图像偏移或噪声服从高斯混合分布，容易造成模型不匹配和丢失局部细节等问题。文中提出一种基于小波的多分辨率的非参数正交多项式医学图像融合方法。首先，对图像进行多分辨率分解。对低频部分，根据图像信息模型和非参数正交多项式混合模型，采用非参数期望最大法估计模型参数，获得低频融合结果。对高频部分，采用系数绝对值选大法进行融合。然后，将高频和低频部分结果进行反变换，得到最终融合图像。实验结果表明，该方法融合质量优于其它方法，融合时间大为缩短。

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	刘哲
	宋余庆
	陈健美
	晏燕华
	谢从华

关键词 ：估计理论, 正交多项式, 多分辨率, 非参数期望最大法(NEM), 图像融合

Abstract：Image fusion algorithms based on estimation theory assume that all distortions should follow Gaussian distribution, which causes model mismatch, local details losing and time-consuming. A medical image fusion algorithm is presented based on multi-resolution and nonparametric orthogonal polynomials. Firstly, the source images are decomposed into multi-resolution representations. Then, the NEM algorithm is used to estimate the parameters of the image information model and the non-parametric orthogonal polynomials image mixture model. Thus, the fusion result of low frequency band image is got. For the high frequency band image, the maximum absolute value of the coefficient is applied. Finally, the fused image is obtained by taking the inverse transformation of the composed coefficients. The experimental results show that the proposed algorithm achieves better performance than other fusion methods and the fusion time is considerably reduced.

Key words： Estimation Theory Orthogonal Polynomial Multi-Resolution Nonparameter Expectation Maximization Algorithm (NEM) Image Fusion

收稿日期: 2011-03-11

ZTFLH:

TP391.4

基金资助:国家自然科学基金(No.60841003)、江苏省博士创新基金(No.CX10B_274Z)资助项目

作者简介: 刘哲，女，1982年生，博士研究生，主要研究方向为图像处理、图像数据库、模式识别等。E-mail:lxxc1016@126。com。宋余庆，男，1958年生，教授，博士生导师，主要研究方向为数据挖掘、图像数据库系统、知识发现、模式识别。陈健美，女，1962年生，教授，博士，主要研究方向为数据挖掘、图像数据库系统、模式识别等。晏燕华，男，1986年生，硕士研究生，主要研究方向为图像处理、视频跟踪与检测。谢从华，男，1978年生，讲师，博士，主要研究方向为医学图像处理、数据挖掘、模式识别。

引用本文:

刘哲，宋余庆，陈健美，晏燕华，谢从华. 基于多分辨率的非参数正交多项式医学图像融合方法[J]. 模式识别与人工智能, 2012, 25(2): 300-304. LIU Zhe, SONG Yu-Qing, CHEN Jian-Mei, YAN Yan-Hua, XIE Cong-Hua. A Multi-Resolution Medical Image Fusion Method Based on Nonparametric Orthogonal Polynomials. , 2012, 25(2): 300-304.

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http://manu46.magtech.com.cn/Jweb_prai/CN/ 或 http://manu46.magtech.com.cn/Jweb_prai/CN/Y2012/V25/I2/300

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