Abstract

Nowadays medicinal treatment is highly depending on medical images. There are variety of multi modal medical images are available. Each images are having certain pros and cons. Hence, there is a need of image fusion of multiple images to get a single informative image. In this paper, SPECT (Single Photon Emission Computed Tomography) and MRI (Magnetic Resonance Image) images are taken as source images. They are the images of Alzheimer disease affected patients. In this proposed method, the Adaptive Blood Flow Weight, ABF_WEIGHT for each image is calculated based on the severity of the disease. The blocks of each image is applied contourlet transform, so that it yields Low Frequency Coefficients (LFC) and High Frequency Coefficients (HFC) separately. The High Frequency coefficients are fused using Guided Filter algorithm. The Lower Frequency coefficients are fused using the proposed Adaptive Blood Flow (ABF) fusion rule. Finally inverse transform is applied to get fused image. The work is implemented in MATLAB. It has been proved that the proposed method provides better result. The quality of fused images are computed using the performance measures like entropy, Peak Signal to Noise Ratio (PSNR), Edge strength (Q) and Fusion Factor (FF).

Citation details of the article

Journal: International Journal of Applied Mathematics
Journal ISSN (Print): ISSN 1311-1728
Journal ISSN (Electronic): ISSN 1314-8060
Volume: 31
Issue: 5
Year: 2018

DOI: 10.12732/ijam.v31i5.8

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