Software Implementation On Auto Wheelset Flaw Detecting System

Fluorescent magnetic particle detection is a NDT method that often is used for testing trivial flaws on the surface of some steel workpiece and for controlling qualities of product. Semiautomatic device for fluorescent magnetic particle detection has been largely used. But the flaws are recognised by manual work. There axe a mass of factors which affect the testing and the work condition is atrocious. So it is important to develop a system of fluorescent magnetic particle auto-detection devices. This paper mainly presents a auto-detection flaw testing system.The system is made up of hardware and software. This thesis mainly describe how to realize software .Software section includes image sampling, image segmentation, image mathematic morphologic pretreatment, threshold division, label, eigenvalue extraction and flaw recognition.The algorithm of image processing is the core of the software. According to the characteristic of the sampled image.I have improved the algorithm of a fast adaptive dynamic threshold algorithm which was used by the former version. So it can solve light region problem and can avoid losing information. In order to relief the burden of Label,I provide a multi-shrinking method that based on the number of connection. By using a fast label algorithm which is based on the scanning method,we can make system process data in real time. At last, extract regional eigenvalues and according to these eigenvalues we can identify the flaws.