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X-ray welding seam image defect grading method and system

An X-ray and defect level technology, applied in the field of X-ray weld image defect classification method and system, can solve the problems of not involving the final classification method, sensitive to interference factors, low robustness, etc. Improve the grading accuracy and achieve the effect of full automation

Active Publication Date: 2019-07-23
PEKING UNIV +1
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  • Application Information

AI Technical Summary

Problems solved by technology

These two methods only use deep learning methods to classify and identify defect candidate areas. The generation of defect candidate areas still uses traditional image processing methods. This method of candidate area generation is sensitive to interference factors and has low robustness.
At the same time, these methods do not involve the final rating method

Method used

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  • X-ray welding seam image defect grading method and system
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  • X-ray welding seam image defect grading method and system

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Embodiment Construction

[0057]The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0058] The purpose of the present invention is to provide a method and system for grading defects in X-ray weld images, which can avoid the disadvantages of manual judgment and improve the recognition accuracy.

[0059] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[...

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Abstract

The invention discloses an X-ray welding seam image defect grading method and system. The grading method comprises: acquiring an X-ray welding seam image; determining the type, position and size of the defect of the X-ray weld joint image according to the X-ray weld joint image; and determining the defect grade of the X-ray welding seam image according to the type, position and size of the defect.According to the grading method, full automation of X-ray welding seam image defect detection and grading is achieved, missed judgment and misjudgment caused by manual judgment are avoided, and the grading precision is improved.

Description

technical field [0001] The invention relates to the field of defect grading, in particular to a method and system for grading defects in X-ray weld images. Background technique [0002] In the field of welding defect detection, X-ray inspection is one of the important methods commonly used in conventional nondestructive testing. At present, in actual production, the main method is to manually analyze the weld image, and determine whether there are defects and the type, location, size, etc. of defects based on experience, so as to evaluate the welding quality and give corresponding ratings. The manual evaluation method is affected by human factors such as personal technical level, experience, fatigue, emotion and external conditions, which is inefficient, unreliable, and poor in consistency, and the strong light of the film reading is easy to burn people's eyes. Modern machinery manufacturing has higher and higher requirements for precision, and manual operation is increasin...

Claims

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Application Information

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IPC IPC(8): G06T7/00G01N23/04G01N23/18
CPCG01N23/04G01N23/18G06T7/0004G06T2207/10116G06T2207/20081G06T2207/20084G06T2207/30156
Inventor 段晓辉封举富户田光司沈宇越郝群南水鱼高英国于润泽
Owner PEKING UNIV
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