Method for automatic identification of pipe weld defects based on double-wall and double-projection transillumination images

A double-wall, double-projection, automatic identification technology, applied in the field of image processing, can solve problems such as the deviation of the circular weld area from the actual value, the large error of the judgment result, and the complexity of the judgment method, so as to overcome the differences in technical quality and experience, improve The effect of work efficiency and objectivity of evaluation results

Inactive Publication Date: 2017-05-17
SICHUAN UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For the judgment of defects in X-ray double-walled double-projection tube weld images, the judgment steps are similar to linear welds, but the weld extraction and defect judgment methods are much more complicated. If the basic image processing scheme is used, it will lead to circular welds The area deviates from the actual value to a large extent, and the error of the judgment result of the defect is large

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for automatic identification of pipe weld defects based on double-wall and double-projection transillumination images
  • Method for automatic identification of pipe weld defects based on double-wall and double-projection transillumination images
  • Method for automatic identification of pipe weld defects based on double-wall and double-projection transillumination images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0093] In order to prove the feasibility of the scheme of the present invention, in this example, 20,000 images of butt pipe welds on the actual production line are used as detection and judgment objects. These 20,000 images of butt pipe welds contain normal samples and various common defects.

[0094] In this example, the above-mentioned 20,000 weld images are processed as follows:

[0095] 1) Rotation correction:

[0096] In order to accurately determine the inclination angle of the steel pipe, a point is selected from the upper and lower regions of the image. In the experiment, the coordinates of two points A and B in the image are:

[0097] A(x 1 =0.5×width,y 1 =0.1×height),

[0098] B(x 2 =0.5×width,y 2 =0.9×height);

[0099] Where width is the width of the image and height is the height of the image.

[0100] The slope obtained by calculating the minimum variance of the pixels passed by the straight line beam indicates the degree of inclination of the steel pipe,...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to the image processing techniques, and discloses a method for automatically identifying a pipe weld defect based on a double-wall double-projection transillumination image so as to accurately extract a circumferential weld zone of a butt joint pipe and realize an accurate judgment of whether a butt welded seam has a defect. The method comprises the following steps: A. carrying out pretreatment to a weld joint image obtained by an X-ray double-wall double-projection transillumination method; B. based on the weld joint image subjected to the pretreatment, marking the ROI zone of the weld joint image as a base metal zone and a weld joint zone; and C. in each marking zone, in combination with the geometrical morphology characteristics of the weld joint, the gray characteristics of the image and the position information of the defect, judging whether the weld joint of the butt joint pipe has an defect. The method for automatically identifying the pipe weld defect based on the double-wall double-projection transillumination image is suitable for defect detection of the weld joint of the butt joint pipe.

Description

technical field [0001] The invention relates to image processing technology, in particular to a method for automatic identification of pipe weld defects based on double-wall and double-projection transillumination images. Background technique [0002] For small-diameter steel pipes with a diameter of φ<89mm, the X-ray double-wall double-projection transillumination method is generally used in industry to obtain weld seam images. Its butt pipe welds appear as elliptical rings on the imaging plate. For the identification of weld seam defects of butt joint pipes, at present, most of them are manually identified by film reviewers through the weld images after X-ray transillumination. The computer automatic recognition method of weld defects based on X-ray transillumination images can effectively reduce the workload of film reviewers and provide effective industrial auxiliary detection means. [0003] Because the application range of large diameter pipes is larger than that ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G01N23/04G06T7/00G06K9/46
Inventor 刘奇李昌聪何凌黄韫栀
Owner SICHUAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap