Method for detecting girder cracks based on image processing

A crack detection and image processing technology, which is applied in the field of fault diagnosis technology and signal processing and analysis, can solve the problems of low efficiency, time-consuming, heavy detection workload, etc.

Active Publication Date: 2016-07-20
KUNMING UNIV OF SCI & TECH +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] Based on the above problems, the present invention provides a steel beam crack detection method based on image processing. When the guide rail on the top of the production line is subjected to upward or downward extrusion force and stress accumulation during the operation of the hanger roller, damage a

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  • Method for detecting girder cracks based on image processing
  • Method for detecting girder cracks based on image processing
  • Method for detecting girder cracks based on image processing

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Embodiment 1

[0050] Embodiment 1: as Figure 1-10 As shown, a steel beam crack detection method based on image processing, first establishes the feature training sample set of steel beam cracks, and makes the GroundTruth set of sample images, and establishes a steel beam crack detection classifier based on structured random forest; then The crack images in each time period in the collected images are spliced; use the generated steel beam crack detection classifier to perform rough edge detection of steel beam cracks on the spliced ​​crack images, and obtain rough edge detection results; finally, the rough edge detection results Precise crack screening and location.

[0051] The specific steps of the steel beam crack detection method based on image processing are as follows:

[0052] Step1. First extract the steel beam crack image, establish the characteristic training sample set of steel beam crack, and make the GroundTruth set of sample images, which together form the training set S base...

Embodiment 2

[0077] Embodiment 2: as Figure 1-10 As shown, a steel beam crack detection method based on image processing, the concrete steps of the steel beam crack detection method based on image processing are as follows:

[0078] A. First extract the steel beam crack image, establish a standard 6m square steel beam crack feature training sample set, and make a GroundTruth set of sample images to form a training set S based on steel beam crack images; secondly, establish a structured random forest. Steel beam crack detection classifier h(x,θ j ), the flow chart of constructing the crack detection classifier is as follows figure 2 As shown, by establishing the training set S of node j j ∈X×Y, establish h(x,θ j ) in the random variable θ j The forest model that can maximize the information gain makes the output of the steel beam crack detection classifier a discrete value;

[0079] In the step A, the main steps of constructing the steel beam crack detection classifier are as follows...

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Abstract

The invention relates to a method for detecting girder cracks based on image processing, and belongs to the field of malfunction diagnosis technology and signal processing analysis technology. The method comprises the following steps: firstly establishing a feature training sample set of girder cracks, and manufacturing a Ground Truth set of sample images, establishing a girder crack detection classifier based on a structural random forest; then performing stitching on crack images within each time period among acquired images; using the generated girder crack detection classifier to perform rough edge detection for girder cracks on the stitched crack images to obtain a rough edge detection result; finally conducting accurate crack selection and location on the rough edge detection result. According to the invention, a well trained girder crack detection classifier can extract crack information in square girders in an efficient, rapid and accurate manner, eliminates malfunction in an in-time and rapid manner, and increases economic benefits and guarantees personal safety of working staff.

Description

technical field [0001] The invention relates to a steel beam crack detection method based on image processing, which belongs to the field of fault diagnosis technology and signal processing and analysis technology. Background technique [0002] Once cracks appear on the surface of the steel beams used by industries and enterprises, it will cause great economic losses and serious personal safety problems, especially the top guide rails in the production line. The lower extrusion component and stress accumulation will lead to frequent failure and fracture. At present, workshop staff can only rely on visual inspection to find cracks, which is heavy workload, low efficiency, and time-consuming. Therefore, an effective automatic detection method is urgently needed. [0003] At present, the non-destructive testing techniques commonly used in steel structures include macroscopic inspection, ultrasonic, magnetic particle, penetration, stress-strain testing, etc., but it is difficu...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06K9/62G06T5/50G01N21/88
CPCG06T5/50G01N21/8851G01N2021/8887G06T2207/30108G06V10/443G06V10/44G06F18/2411G06F18/241
Inventor 伍星王森柳小勤伞红军张印辉蔡正刘畅刘韬
Owner KUNMING UNIV OF SCI & TECH
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