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Am. J. Biomed. Sci. 2016, 8(3), 193-199; doi: 10.5099/aj160300193
Received: 26 March 2016; | Revised: 7 June 2016; | Accepted: 16 July 2016


Image Fusion Using Contourlet for Enhancement and Wavelet Transform: to Aid Medical Diagnosis


A. Bengana*, M.A.Chikh, I. Boukli hacene

Biomedical Laboratory, Department of Electrics and Electronics, Technology Faculty, University Of Tlemcen 13000, Algeria.

*Corresponding Author

A. Bengana

Department of electrics and Electronics

Technology Faculty

University Of Tlemcen 13000


Email: befatih80@yahoo.fr



Medical image fusion is the process of combining multiple images from single or multimodal medical image. In this article, we have presented an hybrid image fusion based on non-subsampled contourlet (NSCT) enhancement to highlight the presentation of the original image appearance taking into account the difficulties of classical methods linked to the traditional enhancement methods. This algorithm is performed in CDF 9/7 wavelet transform based on lifting scheme to combine magnetic resonance imaging (MRI) and Positron emission tomography (PET) with applying fusion rules. The coefficients of the low frequency band are combined by a maximal energy rule and coefficients of the high frequency bands are combined by a maximal variance rule. Finally, the results of image fusion are evaluated with mutual information (MI) and spatial frequency (SF) then compared with the existent methods such as (PCA, DWT).

Keywords: Medical image, Image fusion, NSCT, Lifting scheme, Wavelet CDF9/7.

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