Design and Implementation of a Real-Time Image Processing System Using Model-Based Design Methods

In this study, design of a real-time image processing system was implemented using Zynq architecture and model-based design tools. System uses a development board that includes Zynq-7000 chip, a new architecture which consists of FPGA and microprocessor, and the images were captured with a high-resolution camera compatible with this system. Processed images transferred to the monitor in real-time with applying grayscale conversion, edge detection, noise reduction and sharpening filters. The filter hardware designs used in the system were implemented by using HDL Coder tool in Matlab / Simulink environment without using hand-coded HDL. The hardware design of the system that takes images from the camera has been implemented with the model-based hardware development tool Vivado Suite which developed by Xilinx company. Finally, an appropriate software for the hardware has been developed and results and the resource usage of the system have been analyzed. As a result of the work done, it has been observed that the system works successfully in real time.