Image Fusion using Xilinx System Generator for MRI and CT Medical Image Modalities

Abstract

This paper aims at development of Fusion algorithms for Multimodal Images using Xilinx System Generator for ease of using available built-in Field Programmable Gate Array based hardware algorithms for image fusion. This facilitates the development of new enhanced algorithms easily by using built-in blocks. Further this reduces the design effort, enhances hardware utilization. Further the comparison parameters like mean, standard deviation, peak signal to noise ratio, variance, root mean square error, kurtosis etc are compared with the existing fusion algorithms like DWT, SIDWT, PCA, DCT, etc. Xilinx ISE 14.5 is used as synthesis tool for Zynq 7000 Series 28nm FPGA board with part number XC7Z100-1FFG1156. The existing and modified architectures are implemented using Xilinx System Generator (XSG) as a cosimulation with MATLAB 2015a Simulink workspace. The proposed XSG based FPGA Image Fusion Algorithm proves to be a better choice of implementation with a scope of reconfigurability.