High-speed rail hood front opening and closing depainting fault detection method

Abstract

The invention discloses a high-speed rail hood front opening and closing depainting fault detection method, and belongs to the technical field of locomotive depainting detection. The invention discloses a high-speed rail hood front opening and closing depainting fault detection method. The depainting fault detection method comprises the following steps: step 1, acquiring high-definition images of the bottom and the side parts of a high-speed rail train; step 2, intercepting a local area image containing an opening and closing part in front of the hood from the high-definition image to serve as a detection area; step 3, preprocessing the detection area to obtain a feature image; 4, performing feature extraction on the feature image; 5, carrying out feature dimension reduction on the extracted features; and step 6, designing a classifier based on a low-dimensional positive definite space, classifying the dimensionality-reduced features by using the classifier, and finally judging whether the high-speed rail hood is depainted or not. According to the invention, an automatic image recognition mode is used for replacing manual detection, so that the detection efficiency and accuracy are improved, and the driving safety is improved.

Description

technical field [0001] The invention relates to a method for detecting a paint peeling failure of the front opening and closing of a high-speed rail hood, and belongs to the technical field of paint peeling detection of locomotives. Background technique [0002] In recent years, the speed of high-speed railways has increased year by year. During the running of the train, the front opening and closing of the hood is prone to paint peeling due to rain erosion and scratches, which will affect the front itself, not only affecting the appearance, but also causing safety hazards in the long run , so the research on the image processing method to automatically identify and lock the paint stripping position, carry out relevant processing in time, and avoid irreversible influence has become a key issue in the industry. [0003] At present, the detection of the opening and closing of the front cover of the railway high-speed rail is mainly through manual detection. This detection meth...

AI Technical Summary

Problems solved by technology

[0002] In recent years, the speed of high-speed railways has increased year by year. During the running of the train, the front opening and closing of the hood is prone to paint peeling due to rain erosion and scratches, which will affect the front itself, not only affecting the appearance, but also causing safety hazards in the long run , so the research on the image processing method to automatically identify and lock the paint stripping position, carry out relevant processing in time, and avoid irreversible effects has become a key issue in the industry

[0003] At present, the detection of the opening and closing of the front cover of the high-speed railway hood is mainly through manual detection. This detection method is not only inefficient, but also easily due to negligence such as visual fatigue, resulting in inaccurate detection results and failure to find foreign objects.

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