Implementation of image edge detection on FPGA using XSG
Image edge detection plays a vital role in image processing. Edges are the pre dominant features of an image which is mainly used to analyze the images and to process that image. Hardware implementation of image edge detection is essential for real time applications to increase the speed of operation. This paper proposes a method that uses a graphical user interface that combines MATLAB, Simulink and Xilinx System Generator(XSG) to generate a code which is hardware implemented onto Spartan 3E Field Programmable Gate Array (FPGA).This Paper also provides an image edge detection using Robert, Prewitt, Sobel and Laplacian of Gaussian (LoG) operators and implemented on FPGA.
2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT)