| After the reform and opening up,China’s economy has developed rapidly,and the country attaches great importance to infrastructure construction,which has led to the rapid development of highway construction in China,the improvement of road network,and the increasing workload of road maintenance management.In most cases,the damage of the road surface is gradually developed.The damage of the road will not only cause traffic accidents,but also bring threats to people’s lives,and it will also bring losses to everyone’s property.Therefore,in order to reduce road damage.It is particularly important to check the cracks on the road surface regularly for traffic accidents.However,the mileage of roads in China is particularly long.It is extremely unwise to use time and labor to check the road surface.Therefore,it is necessary to develop an intelligent detection system.This is also the trend of the times.This paper proposes a detection system designed with FPGA technology.Firstly,each module included in the system is briefly explained.The image processing module in the system is the core part of the design.In the image processing,the captured image is first image enhanced to remove noise,and then the image is edge-detected to connect the discontinuous edges into a complete boundary.In order to subsequently identify the crack.Finally,the isolated points and cracks left in the image are respectively removed and repaired to obtain a closed and continuous crack image.In the research of the image enhancement algorithm contained in it,several existing algorithms are realized by FPGA,and then a new filtering algorithm with better processing effect is developed based on the algorithm.FPGA design and simulation.Then the comparison and analysis of these algorithms are carried out,and the advantages of the improved algorithm are proved,which makes the image processing effect be improved.When the object is edge-detected,the Sobel and Prewitt operators are studied,and the FPGA design and simulation are carried out separately.Then the two algorithms are compared.In the repair of the image,the expansion corrosion algorithm contained in the image was studied.Finally,the closed operation in the repair algorithm was selected,and the FPGA design and simulation were carried out.Finally,their experimental results were analyzed.Therefore,when the image is enhanced,an improved median filtering algorithm can be selected.When the edge detection of the image is performed,the resources occupied by the two operators,the processing effect and the processing time are similar,and the actual application can be based on the specific application.Choose one of the situations.When repairing an image,you can choose to repair it in the order of first expansion and then corrosion.The above design and simulation experiments were performed on Altera’s development software Quartus II 13.1.It can be seen from the experimental comparison that the image processing using FPGA not only achieves better results,but also has a fast processing speed,which can meet the technical requirements of real-time image processing.The exploratory attempt made by this subject not only has far-reaching impact on the design of road surface crack image detection system,but also has positive significance. |
