MRI Brain Image Enhancement Using XILINX System Generator and DWT

This paper presents a novel method of enhancing the image quality of human brain obtained from Magnetic Resonance Imaging scans. Here, we are trying to enhance the brain image using Xilinx System Generator, which is a DSP tool devised by Xilinx Corporation. The architecture presented in this paper utilizes a graphical user interface that bands together MATLAB Simulink and XSG offering appropriate hardware implementation. Hence, the quality of image is improved. These images are, then, fed to artificial neural network, for normality or abnormality classification of brain. This paper utilizes ANN using multiperceptron and back propagation method. This method first makes use of discrete wavelet transform to extract energy values from enhanced images using filters and then it is fed to ANN for further classification. The image enhancement using XSG, has its performance measured in terms of resource utilization by using FPGA XC5VLX50T is also measured.