Weld joint pore defect detection method based on image processing

A welding seam porosity and defect detection technology, which is applied in image data processing, image enhancement, image analysis, etc., can solve a lot of labor costs, result impact and other problems, and achieve labor cost saving, good precision and accuracy, The effect of avoiding the influence of subjective label information

Active Publication Date: 2021-10-12
SOUTH CHINA UNIV OF TECH
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  • Claims
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Problems solved by technology

Such methods require a large number of sample data sets and manual labeling information, which not only requires a lot of labor costs, but also the results are easily affected by subjective labeling information.

Method used

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  • Weld joint pore defect detection method based on image processing
  • Weld joint pore defect detection method based on image processing
  • Weld joint pore defect detection method based on image processing

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Embodiment

[0082] Such as figure 1 As shown, this embodiment proposes a method for detecting weld porosity defects based on image processing, which includes the following steps:

[0083] Step S1: Perform binarization processing on the input image img of pore defects to be detected to obtain a first processed image. In practical application, specific combination figure 2 and image 3 As shown, the input image img to be detected of the air hole defect is specifically the 16-bit original image of the weld seam with the air hole defect, and the first processed image is the binary image imgb1.

[0084] In this embodiment, the first processed image is obtained by performing binarization processing on the input image of the pore defect to be detected, and the specific steps include:

[0085] Step S1-1: performing mean filtering on the image img to be detected for stomatal defects based on a 128×1-dimensional filter check to obtain a first filtered image bimg;

[0086] Step S1-2: Use the fi...

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Abstract

The invention discloses a weld joint pore defect detection method based on image processing. The method comprises the following steps: carrying out binarization processing on an input pore defect to-be-detected image to obtain a binary image imgb1; performing closing operation and opening operation on the binary image imgb1 in sequence to obtain a binary image imgb2; extracting and putting all connected domains of the binary image imgb2 into a summary set; traversing the summarized set, extracting a connected domain which transversely passes through the image, and putting the connected domain into a first screening set; if only one element exists in the first screening set, taking the connected domain as the contour of the welding joint area, and searching the pore defect area directly; otherwise, searching a steel pipe area; extracting a target welding seam area; searching an air hole defect area; and extracting all pore defect areas based on edge detection, and fitting the contour by adopting a least square method. According to the invention, the to-be-detected image of the pore defect is directly processed, the weld pore defect is detected by combining connected domain searching and edge detection, and the method has good precision and accuracy.

Description

technical field [0001] The invention relates to the technical field of weld porosity defect detection, in particular to a weld porosity defect detection method based on image processing. Background technique [0002] With the rapid development of the manufacturing industry, welding technology has been widely used in energy transportation, construction, machinery, aviation and other industrial fields. During the welding process, due to the unreasonable setting of the facilities or improper operation, the welded workpiece may have porosity defects. Weld porosity defects will not only reduce the structural strength of the workpiece, but also may cause the workpiece to break and cause serious safety accidents. Therefore, it is particularly important to inspect the quality of welding workpieces. [0003] X-ray inspection technology is a commonly used industrial nondestructive inspection method, which has important application value in the field of weld defect analysis and inspe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/13G06T7/187
CPCG06T7/0004G06T7/13G06T7/11G06T7/187G06T2207/30152G06T2207/30168
Inventor 黄茜师聪颖胡志辉朱轲信
Owner SOUTH CHINA UNIV OF TECH
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