Study And Implementation On Automatic Testing System Of Railway Defects

In the use of railway, the surface can be damaged by the train or the factor of nature. Surface defect test is difficult and dangerous as the railway is very long and the environment is complex for human. To manage and service the entire road surface resource and data as they are so large in quantities, we must improve the level of test as swift as it is possible. So it is useful of automatic testing to the surface of railway, not by people. Only using this method, the test of railway surface can be efficient.This paper studies the detect technology of the railway surface on the base of image detection system. We put forward the test system of railway surface's damage, which collecting the road surface's image, using camera in the condition of fit illumination, and save the image to the disk, then process them online. With reference to the project's requirements, this paper chooses devices which are suitable for railway testing to assemble the hardware system by comparing their functions. In the procedure of image processing, the software calculates the area of the damage and marks the defects of the railway surface, then picks up the damage region from the image and stores the result to text files. We put forward three different algorithms, analyze their advantages and disadvantages, compare their results in several aspects and choose the best one.In the application of pictures collected in worksite, this chosen method is rapid and accurate. It successfully gives the damage information of road surface which meets the requirement of this project. The result is just the evidence by which we repair the road surface. We can test the damage of road surface in this way usually, and then solve the problem in time.