Medical image fusion via an effective wavelet-based approach

  • Authors:

  • Yong Yang;Dong Sun Park;Shuying Huang;Nini Rao

  • Affiliations:

  • Sch. of Inf. Techn., Jiangxi Univ. of Finance and Economics, Nanchang, Jiangxi, China and Dept. of Electronics and Inf. Eng., Chonbuk National Univ., Jeonbuk, Republic of Korea and School of Life ...;Department of Electronics and Information Engineering, Chonbuk National University, Jeonbuk, Republic of Korea;School of Software and Communications Engineering, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China;School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China

  • Venue:
  • EURASIP Journal on Advances in Signal Processing
  • Year:
  • 2010

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Abstract

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 quantitatively evaluate and prove the performance of the proposed method, series of experiments and comparisons with some existing fusion methods are carried out in the paper. Experimental results on simulated and real medical images indicate that the proposed method is effective and can get satisfactory fusion results.