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Coupler yoke breaking identification method based on image processing

An image processing and recognition method technology, applied in character and pattern recognition, instruments, computer parts and other directions, can solve the problem of low accuracy of hook-tail frame, to ensure detection accuracy, improve detection rate and detection accuracy, The effect of reducing the workload

Active Publication Date: 2021-02-05
HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention aims to solve the problem of low accuracy in existing detection methods for hook tail frame breakage

Method used

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  • Coupler yoke breaking identification method based on image processing
  • Coupler yoke breaking identification method based on image processing
  • Coupler yoke breaking identification method based on image processing

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Experimental program
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specific Embodiment approach 1

[0043] Specific implementation mode one: combine figure 1 To describe this embodiment,

[0044] This embodiment is an image processing-based method for identifying the breakage of a hooktail frame, comprising the following steps:

[0045] S1. Obtain a target image containing the component to be detected; and enhance the target image to obtain an enhanced target image;

[0046] S2. Use local adaptive threshold segmentation to extract the boundary area between the pallet and the background; calculate the segmentation results in the horizontal direction and use the vertical center point of the enhanced target image as a reference to search for the upper and lower boundaries at the upper and lower ends;

[0047] Position and intercept the hooktail frame according to the position of the upper boundary or the lower boundary in the enhanced target image, as an accurately positioned and intercepted image, calculate the pixel variance of the accurately positioned and intercepted image...

specific Embodiment approach 2

[0051] This embodiment is an image processing-based method for identifying the breakage of a hooktail frame. In this embodiment, the process of enhancing the target image includes the following steps:

[0052] Normalize the target image, and then count the number of pixel values ​​in the 10 intervals with the gray value of the normalized image between 0 and 1 with a step size of 0.1, and select the upper bound of the interval with the largest number of pixel values ​​as Enhance the center of the curve; and enhance the target image according to the following formula:

[0053]

[0054] where imgval is the statistical value of the number of pixel values ​​in the interval of the normalized image step size of 0.1, F off is the upper bound of the interval corresponding to the maximum number of pixel values ​​in the statistical value, exp is the exponent with e as the base, y is the enhanced power, img normal The normalized pixel value of the target image before enhancement, img ...

specific Embodiment approach 3

[0058] This embodiment is an image processing-based hooktail frame break recognition method. In S2 of this embodiment, the segmentation results are calculated in the horizontal direction and the process of searching for the upper and lower boundaries at the upper and lower ends with the enhanced vertical center point of the target image includes the following step:

[0059] Use the vertical center point of the enhanced target image to search for the upper and lower ends respectively, find the position of the row where the number of white pixels in a certain row of pixels exceeds half the width of the enhanced target image, and record it as A1, continue to search, if 5 consecutive If the line meets the condition of exceeding half the width of the enhanced target image, select A1 as the boundary to stop the search, otherwise continue to search;

[0060] If two lines satisfying the conditions are found at the upper and lower ends at the same time, the upper and lower boundaries a...

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Abstract

The invention discloses a coupler yoke breaking identification method based on image processing, and belongs to the technical field of image detection. The objective of the invention is to solve the problem of low accuracy of an existing coupler yoke fracture detection method. The method comprises the following steps: firstly, enhancing a target image, extracting a boundary region of a supportingplate and a background by adopting a local adaptive threshold value, counting a segmentation result in the horizontal direction, searching upper and lower boundaries to obtain an accurate positioningintercepted image, then calculating a pixel variance in the column direction to obtain a variance curve, and traversing the pixel variance curve to find the starting and ending positions of the jump point of the variance curve, correspondingly expanding L pixels from the starting position in the accurate positioning interception image to serve as the starting coordinates of the suspected fault area, and intercepting a suspected fault area sub-image according to the obtained coordinates; and then based on the extracted features of the suspected fault area sub-graph, identifying the fault by using an SVM classifier. The method is mainly used for coupler yoke breakage identification.

Description

technical field [0001] The invention belongs to the technical field of image detection, and in particular relates to a hook tail frame break recognition method. Background technique [0002] In order to ensure the safe operation of railway trains, railway inspection technicians need to inspect various components of railway trains. The traditional method is that the detection equipment takes pictures of the train or each component, and after the pictures are taken, the fault point of the train is determined by manual observation. This approach enables fault detection while the vehicle is moving without stopping. However, the fault detection method of manually inspecting images is inefficient and requires a lot of manpower, and has the disadvantages of easy fatigue, high intensity, and need for training. [0003] For faults with obvious characteristics and fixed standards, image processing can be used to identify them, which can greatly save manpower and shorten the detectio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/34G06K9/46G06K9/62
CPCG06V10/26G06V10/462G06F18/214G06F18/2411
Inventor 汤岩
Owner HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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