Image registration method and system for train bottom fault detection of motor train unit

Abstract

The invention provides an image registration method and system for train bottom fault detection of a motor train unit. The method comprises the following steps: acquiring an original image of the train bottom of the motor train unit; preprocessing the original image to obtain a first image; and performing image registration on the first image and the corresponding template image through Fourier-Mellin transform to obtain translation, rotation and scaling parameters, and processing the first image according to the obtained translation, rotation and scaling parameters to obtain a second image for fault detection. According to the method, all information in an image frequency domain is utilized instead of rigid transformation methods based on feature constraint points, such as affine transformation, so that high-precision registration of the train bottom image of the motor train unit is realized; the accurate position of the template image relative to the to-be-detected image is judged based on an image registration algorithm of Fourier-Mellin, and relative translation, rotation and scaling parameters are obtained.

Description

technical field [0001] The invention relates to the technical field of fault detection, in particular to an image registration method and system for fault detection of the underbody of an EMU. Background technique [0002] With the rapid development of high-speed railway construction, the maintenance tasks of high-speed railway stations are becoming more and more arduous. Automatic failure methods such as TEDS and troubleshooting robots have been widely adopted, gradually replacing the traditional manual vehicle bottom appearance inspection, so as to reduce manual labor intensity and improve maintenance operations. quality to ensure safe vehicle operation. The use of intelligent image analysis technology to automatically detect the defects of the underbody components of the EMU has become the basis for ensuring the safe and stable operation of the vehicle. The EMU troubleshooting robot uses industrial-grade area scan cameras, six-axis robotic arms, RGV rail cars, etc. as ha...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an image registration method and system for detection of faults on the underside of EMUs. Part of the embodiments can be used to solve the defect of misjudgment caused by the intelligent judgment algorithm of defect detection in the prior art, and realize the dynamic detection of complex environments. For under-vehicle images with relatively single imaging conditions, relatively single image elements, and highly similar local features, a registration technology that meets the requirements of real-time processing is proposed, which has the characteristics of high precision and robustness

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