Implementing Image Processing Algorithms using Xilinx System Generator with Real Time Constraints

Abstract

Image Processing is used to modify pictures to improve their quality and extract structured information. The need to process them in real time has lead to implement them in hardware. To implement image processing algorithms using high level languages requires thousands of lines of code which is inefficient as it takes more time. Alternate solution is using Xilinx System Generator, which is a modeling tool where design is captured by using xilinx blockset from library environment. The main advantage of system generator is Xilinx blocksets provide close integration with MATLAB Simulink that helps in co-simulating FPGA module with pixel vector provided by MATLAB Simulink blocks. The image analysis plays an important role in medical imaging. This paper provides image analysis of a CT scan image. The algorithms are performed on an image to extract significant features such as image enhancement, contrast stretching, negative of image, image segmentation and detecting the edges for a CT scan image. The area and power parameters are evaluated using reconfigurable platform -Artix-7 FPGA.