A Multi-Resolution Medical Image Fusion Method Based on Nonparametric Orthogonal Polynomials
LIU Zhe1,2, SONG Yu-Qing1, CHEN Jian-Mei1, YAN Yan-Hua1, XIE Cong-Hua1
1.School of Computer Science and Telecommunication Engineering,Jiangsu University,Zhenjiang 212013 2.School of Computer Science,Jilin Normal University,Siping 136000
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.
LIU Zhe,SONG Yu-Qing,CHEN Jian-Mei等. A Multi-Resolution Medical Image Fusion Method Based on Nonparametric Orthogonal Polynomials[J]. , 2012, 25(2): 300-304.
[1] Karlo C A,Steurer-Dober I,Leonardi M,et al.MR/CT Image Fusion of the Spine after Spondylodesis: A Feasibility Study.European Spine Journal,2010,19(10): 1771-1775 [2] Fu Mingyu,Zhao Cheng.Fusion of Infrared and Visible Images Based on the Second Generation Curvelet Transform.Infrared and Millimeter Waves,2009,28(4): 254-258 [3] Yue Jin,Yang Ruliang,Huan Ruohong.Research on Image Fusion with Double Density Dual-Tree Complex Wavelet Transform.Journal of Electronics Information Technology,2009,31(1): 129-133 (in Chinese) (岳 晋,杨汝良,宦若虹.基于双密度双树复数小波变换的图像融合研究.电子与信息学报,2009,31(1): 129-133) [4] Blum R S.On Multisensor Image Fusion Performance Limits from an Estimation Theory Perspective.Information Fusion,2006,7(3): 250-263 [5] Sharma R K.Probabilistic Model-Based Multisensor Image Fusion.Ph.D Dissertation.Oregon,USA: Oregon Graduate Institute of Science and Technology,1999: 47-51 [6] Yang J,Blum R S.A Statistical Signal Processing Approach to Image Fusion for Concealed Weapon Detection // Proc of the IEEE International Conference on Image Processing.New York,USA,2002: 513-516 [7] Metwalli M R,Nasr A H,Allah O S F,et al.Satellite Image Fusion Based on Principal Component Analysis and High-Pass Filtering.The Optical Society of America A: Optics Image Science and Vision,2010,27(6): 1385-1394 [8] Yang J,Blum R S.A Region-Based Image Fusion Method Using the Expectation-Maximization Algorithm // Proc of the 40th Annual Conference on Information Sciences and Systems.Princeton,USA,2006: 468-473 [9] Wang Rui,Wang Lin,Yuan Yan.Region-Based Statistical Signal Processing Scheme for Image Fusion.Journal of Beijing University of Aeronautics and Astronautics,2010,36(2): 140-144 (in Chinese) (王 睿,王 林,袁 艳.基于区域灰度统计信号处理的图像融合方法.北京航空航天大学学报,2010,36(2): 140-144) [10] Zribi M.Unsupervised Bayesian Image Segmentation Using Orthogonal Series.Journal of Visual Communication Image Representation,2007,18(6): 496-503 [11] McLachlan G J,Peel D.Finite Mixture Models.New York,USA: Wiley,2000 [12] Zribi M.Non-Parametric and Region-Based Image Fusion with Bootstrap Sampling.Information Fusion,2010,11(2): 85-94 [13] Wang Linyan,Tao Ling,Wang Huinan.The Research on Evaluate Measure of CT and MRI Image Fusion.Journal of Biomedical Engineering Research,2005,25(4): 247-250 (in Chinese) (王林艳,陶 玲,王惠南.CT与MRI图像融合的评价方法研究.生物医学工程研究,2005,25(4): 247-250) [14] Xydeas C,Petrov V I.Objective Image Fusion Performance Measure.Electronic Letters,2000,36(4): 308-309 [15] Yang J,Blum R S.A Statistical Signal Processing Approach to Image Fusion for Concealed Weapon Detection // Proc of the IEEE International Conference on Image Processing.Rochester,USA,2002: 513-516 [16] Yang J,Blum R S.A Region-Based Image Fusion Method Using the Expectation-Maximization Algorithm // Proc of the 40th Annual Conference on Information Sciences and Systems.Princeton,USA,2006: 468-473
2012, Vol. 25 
