Design Of Image Acquisition And Pre-processing System And FPGA Implementation

With the continuous development of the image acquisition, image processing and electronic technology, the image acquisition system has been widely applied in the fields of pattern recognition, remote monitoring, industrial control and military, and it has become a research hotspot in this field. With the development and application of ASIC, DSP and FPGA, a new technical way for image acquisition system has been provided. The image acquisition system based on FPGA has become the development trends in the field of image processing.Firstly, the research situation of the image acquisition and processing system at home and abroad was analyzed and the structure of the image acquisition system was introduced in the paper. The whole design ideas and scheme of the image acquisition and pre-processing system based on FPGA were proposed on the basis of the structure of the image acquisition system. Secondly, the algorithm of median filter and the algorithm of mean filter included in image pre-processing technology were studied and analyzed comparatively. The design of hardware circuits of the image acquisition and pre-processing system were described in detail in the paper and the whole design of hardware circuit and the design of the various parts of the circuit was given, including the design of image acquisition circuit, image storage circuit, image pre-processing circuit, image display circuit and system power circuit. The design of internal function module based on FPGA was studied. The internal function block diagram of image acquisition and pre-processing system based on FPGA was given and the implementation methods of the main function modules were described in detail, including image acquisition module, image cache module, VGA module, median filter module, mean filter module and filtering control module and so on. The main function modules were simulated and the correctness of the main function modules was verified.The filtering performance of the median filter algorithm and mean filter algorithm in the image pre-processing technology were simulated and verified through the combination of SignalTapⅡ on-line debugging, Matlab simulation and Modelsim simulation. The actual effects of two filtering algorithms were compared. Finally, the existing problems in the study of the topic and the directions of the future research were discussed.