Improved Guided Image Fusion for Magnetic Resonance and Computed Tomography Imaging

Hindawi Limited - Tập 2014 - Trang 1-7 - 2014
Amina Jameel1, Abdul Ghafoor1, Muhammad Mohsin Riaz2
1Department of Electrical Engineering, College of Signals, National University of Sciences and Technology (NUST), Islamabad 46000, Pakistan
2Center for Advanced Studies in Telecommunication (CAST), COMSATS Institute of Information Technology, Islamabad, Pakistan

Tóm tắt

Improved guided image fusion for magnetic resonance and computed tomography imaging is proposed. Existing guided filtering scheme uses Gaussian filter and two-level weight maps due to which the scheme has limited performance for images having noise. Different modifications in filter (based on linear minimum mean square error estimator) and weight maps (with different levels) are proposed to overcome these limitations. Simulation results based on visual and quantitative analysis show the significance of proposed scheme.

Từ khóa


Tài liệu tham khảo

10.1155/2010/579341

10.1109/JPROC.2003.817864

10.2528/PIERB11040601

10.1016/j.inffus.2009.05.003

10.1006/nimg.2000.0707

10.1016/j.ijrobp.2004.08.033

10.1016/j.ijrobp.2005.01.056

10.1016/S1566-2535(03)00046-0

10.1016/j.inffus.2005.09.001

10.1016/j.inffus.2010.04.001

2000, Photogrammetric Engineering and Remote Sensing, 66, 49

2012, International Journal of Latest Technology in Engineering, Management and Applied Science, 1, 124

2013, Infrared Physics and Technology, 57, 56, 10.1016/j.infrared.2012.12.014

2010

2008, Feature-level fusion for object segmentation using mutual information, 295

10.1109/5.554205

10.1016/j.inffus.2006.04.001

1983, IEEE Transactions on Communications, 31, 532, 10.1109/TCOM.1983.1095851

1989, Pattern Recognition Letters, 9, 255, 10.1016/0167-8655(89)90004-4

10.1109/TIP.2004.823821

10.1007/s12524-011-0140-0

10.1016/S1566-2535(01)00037-9

2010, Journal of Modern Optics, 57, 273, 10.1080/09500340903541056

10.1016/j.inffus.2012.03.002

10.1016/j.neucom.2008.02.025

10.1016/j.inffus.2010.03.007

2013, IEEE Transactions on Image Processing, 22

10.1109/83.791966

10.1016/j.mri.2010.03.013

2002, Journal of Nuclear Medicine, 43, 1137

10.1049/el:20081754

10.1016/j.inffus.2006.09.001

10.1049/el:20000267

2007, International Journal of Innovative Computing, Information and Control, 3, 1433

2013, Information Fusion, 14, 127, 10.1016/j.inffus.2011.08.002