Implementation of image processing algorithms on FPGA demonstration board

Image enhancement, motion and target tracking, face recognition and license plate detection are some of the image processing applications which are widely used in many fields such as military, medical sciences, astronomy etc.Image processing is mostly implemented in software. In this thesis, implementation of image processing algorithms on FPGA was analyzed. Object and motion detection on thermal imagery, edge detection, noise reduction, histogram monitoring, nonlinear contrast adjustment and motion detection applications were successfully operated.Altera DE2-70 development and education board was chosen to work on. Board has a number of input and output interfaces sufficient for many image-processing applications. The most important factors for choosing Altera DE2-70 board was its two composite video inputs, VGA output feature and its powerful FPGA, which facilitates to design. Verilog hardware description language (HDL) was used for modeling hardware. Quartus 9.1 program was used to synthesize the hardware models. General application includes conversion of analog video input into digital format, processing the image and transmitting the image to a VGA monitor at a resolution of 640x480.The main objective of this study is taking advantage of the use of FPGAs in the field of image processing and demonstrating the feasibility of the efficient applications of image processing.