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Structural member production process defect detection method based on image processing

A production process and defect detection technology, applied in image data processing, image enhancement, image analysis, etc., can solve the problems of high cost in the inspection process, inability to quickly and accurately determine defect locations and defect types, and inability to meet efficiency requirements. The difference of features is obvious, the features are obvious, and the effect of ensuring accuracy

Active Publication Date: 2021-09-21
金成技术股份有限公司
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Problems solved by technology

Combining the two technologies will make the inspection process cost too high, fail to meet the efficiency requirements, and cannot quickly and accurately determine the defect location and defect type

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  • Structural member production process defect detection method based on image processing

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Embodiment Construction

[0034] In order to further explain the technical means and effects of the present invention to achieve the intended purpose of the invention, the following is a method for detecting defects in the production process of structural parts based on image processing proposed according to the present invention in conjunction with the accompanying drawings and preferred embodiments. The specific embodiment, structure, feature and effect thereof are described in detail as follows. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0035] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention.

[0036] A specific scheme of a method for detecting ...

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Abstract

The invention relates to the technical field of artificial intelligence, in particular to a structural part production process defect detection method based on image processing. According to the method, a ray image of a structural part is obtained through X rays, and a defect distribution diagram is constructed through defect areas on the ray image. A pixel point with the minimum pixel value in the defect connected domain on the defect distribution diagram is taken as a dark pixel point, and screening is carried out twice according to the dispersion degree of the dark pixel point and the distance relationship between the dark pixel point and the center of the connected domain to obtain the defect connected domain with the defect type of slag inclusion and a second connected domain to be detected needing to be continuously detected. Twice screening is carried out through the first pixel distribution and the second pixel distribution of the pixel points in the second to-be-detected connected domain, and defect type detection of all defect connected domains is completed. According to the method, the pixel value difference characteristics of air holes and slag inclusions are fully considered, so that defect detection is accurately and efficiently completed.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a method for detecting defects in the production process of structural parts based on image processing. Background technique [0002] During the production process of structural parts, due to the characteristics of its own production process, welding defects such as pores and slag inclusions often appear in welding. Welding defects will reduce the effective cross-sectional area of ​​the weld, damage the compactness of the weld, and reduce the toughness, plasticity and other mechanical properties of the weld. Therefore, it is necessary to carry out defect detection on structural parts in the production process, judge the defect type and damage degree, and take targeted preventive measures to reduce defect damage. [0003] At present, non-destructive testing methods are mainly used for weld defects, including five methods: ultrasonic testing UT, radiographic testin...

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Application Information

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IPC IPC(8): G06T7/00G06T7/136
CPCG06T7/0004G06T7/136G06T2207/10116G06T2207/30152
Inventor 姬国华郑代顺路秋媛
Owner 金成技术股份有限公司
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