The Study And Design Of Image Processing Based On FPGA

"The dynamic detection equipment of vehicle wheels" is a dynamic non-contact detection equipment,which plays an important role of the train running safety.To improve the processing speed and precision of the equipment, this paper researches on image processing based on the images which come from the equipment.In this paper,the FPGA board named Red Cyclone is the platform of hardware;QuartusⅡ6.0 of Altera Company and Modelsim_SE 6.1f of the third party are the exploited software;Verilog is used as hard design language.Three parts of image processing are concerned in this paper,video collection and digitization,image enhancement and boundary extraction。In the part of video collection and digitization,the formats of the video have been introduced particularly.The video decoding chip SAA7113 has been configured.According to the requirement of the design,the brightness included in the video signal has been picked-up and stored.In the part of image enhancement and boundary extraction,the paper introduces some typical methods of image filtering,edge detection,boundary tracking.It also analyses the characteristics of those methods.Taking the characteristics of FPGA and the object to be dealt with into consideration,the paper optimizes the Canny operator and boundary tracking method in more efficient ways.Histogram equalization,traditional median filter,multi-median filter,Sobel operator,improved Canny operator and improved edge extraction are implemented on FPGA.The results show that all of methods which could be implemented on FPGA are correct.In the end,considering the speed,precision and complexity of methods,the paper picks up the adaptive methods to be use in the equipment,which plays a positive role in improving the performance of the equipment.