Method of recognizing circular defects based on weld X-ray digital images

A defect recognition and digital image technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of low recognition rate of circular defects, difficult programming, complex mathematical and physical models, etc., to improve detection speed and accuracy sexual effect

Inactive Publication Date: 2017-05-31
GUANGDONG INSPECTION & RES INST OF SPECIAL EQUIP ZHUHAI INSPECTION INST +1
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Problems solved by technology

The identification and counting methods of defect types mainly include: system pattern recognition, artificial neural network pattern recognition, fuzzy set recognition and support vector machine, but these algorithms have relatively complex mathematical and physical models, difficult programming, and relatively low recognition rate of circular defects Not enough

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  • Method of recognizing circular defects based on weld X-ray digital images
  • Method of recognizing circular defects based on weld X-ray digital images
  • Method of recognizing circular defects based on weld X-ray digital images

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Embodiment Construction

[0023] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. The circular defect recognition method based on the weld X-ray digital image of the present invention is suitable for the circular defect detection of the weld.

[0024] figure 1 Shown is a flowchart according to an embodiment of the invention. Including steps S101-S106, which are specifically as follows:

[0025] S101, placing the weld to be inspected under the X-ray non-destructive detector, acquiring the X-ray image of the weld through X-ray imaging, and collecting the X-ray image of the weld with a circular defect;

[0026] S102, performing denoising processing on the X-ray image of the weld;

[0027] S103, initially determining the edge of the circular defect through the Canny edge detection operator;

[0028] S104, use morphological openin...

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Abstract

A technical scheme of the invention includes a method of recognizing circular defects based on weld X-ray digital images; the method comprises: S1, acquiring a weld X-ray image with a circular defect; S2, using a display differential algorithm of a total variation model to denoise the weld X-ray image acquired in step A; S3, preliminarily determining the edge of the circular defect through Canny edge detection operator; S4, performing mathematical morphological processing on the image acquired in step C to further determine the edge contour, mass center and area of the circular defect. The method has the advantage that weld X-ray circular defects can be detected more quickly and accurately.

Description

technical field [0001] The invention relates to a method for recognizing circular defects based on X-ray digital images of welding seams, which belongs to the field of computer digital detection. Background technique [0002] X-ray imaging systems have been widely used in industrial non-destructive testing, but in X-ray imaging systems, due to the constraints of radiographic contrast, unsharpness and various hardware, the images have large noise, low contrast, blurred images, and image details. Submerged by noise and other characteristics, the image quality is difficult to meet the specified industry standards. In this paper, the detection of circular defects in welded welds of boiler welded pipes is discussed. Circular defects are cavities formed by the bubbles in the molten pool not escaping when they solidify. They mainly refer to defects such as pores, massive slag inclusions, and tungsten inclusions in the weld, which seriously affect the welding process. The mechanic...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/13G06T7/66G06T5/00G06T7/62
CPCG06T7/0002G06T5/002G06T2207/10116G06T2207/20192
Inventor 徐寒刘莎罗伟立
Owner GUANGDONG INSPECTION & RES INST OF SPECIAL EQUIP ZHUHAI INSPECTION INST
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