Multimodal medical image fusion helps to acquire more information about both the functional and structural informations. More over storage problems can also be addressed properly when the fusion process is adopted. A hybrid image fusion is being sought for an optimum algorithm for a better quality image. This proposed work describes about the multimodal image fusion framework based on empirical mode decomposition of images and fusion by discrete wavelet transform method. The obtained fused image by the proposed method consists of all the functional information and also the spatial characteristics of original image. No distortion is also present in the fused image. In this proposed work Magnetic Resonance Imaging (MRI), and Computerized Tomography (CT) images of brain are used for fusion. The fusion results obtained by this method are observed and quantitatively analyzed. The hybrid fusion response of this approach depicts the dominance of the acquired results.
Software And Hardware
• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL