Multimodal Medical Image Fusion based on Gray Wolf Optimization and Hilbert Transform

Abstract

Image fusion combines complimentary information from multiple images acquired through different sensors, into a single image. In this paper, an image fusion technique based on Gray wolf optimization is proposed forfusion of medical images, Magnetic Resonance Image (MRI) andPositron Emission Tomography (PET).Firstly, Hilbert transformation is applied to extort the informative data from input images. The relevant part of the input images based on information present, is selected for image fusion. The selected portion of the input images is fused by using Gray wolf optimization based method. The simulation resultsshow improved performance of proposed framework as compared to conventionaltechniques.