TAILIEUCHUNG - báo cáo hóa học:" Research Article Medical Image Fusion via an Effective Wavelet-Based Approach"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Medical Image Fusion via an Effective Wavelet-Based Approach | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 579341 13 pages doi 2010 579341 Research Article Medical Image Fusion via an Effective Wavelet-Based Approach Yong Yang 1 2 3 Dong Sun Park 2 Shuying Huang 4 and Nini Rao3 1 School of Information Technology Jiangxi University of Finance and Economics Nanchang Jiangxi 330013 China 2 Department of Electronics and Information Engineering Chonbuk National University Jeonju Jeonbuk 561-756 Republic of Korea 3 School of Life Science and Technology University of Electronic Science and Technology of China Chengdu 610054 China 4 School of Software and Communications Engineering Jiangxi University of Finance and Economics Nanchang Jiangxi 330013 China Correspondence should be addressed to Yong Yang greatyang@ Received 30 July 2009 Revised 27 October 2009 Accepted 10 March 2010 Academic Editor A. Enis Cetin Copyright 2010 Yong Yang et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. A novel wavelet-based approach for medical image fusion is presented which is developed by taking into not only account the characteristics of human visual system HVS but also the physical meaning of the wavelet coefficients. After the medical images to be fused are decomposed by the wavelet transform different-fusion schemes for combining the coefficients are proposed coefficients in low-frequency band are selected with a visibility-based scheme and coefficients in high-frequency bands are selected with a variance based method. To overcome the presence of noise and guarantee the homogeneity of the fused image all the coefficients are subsequently performed by a window-based consistency verification process. The fused image is finally constructed by the inverse wavelet transform with all composite coefficients. To

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