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Method for detecting welding seam segmentation and defects of digital X-ray images

A defect detection and X-ray technology, applied in the field of digital X-ray image weld segmentation and defect detection, radiation imaging, can solve the problems of single detection method, inability to process in real time, slow detection speed, etc. effect, the effect of improving operating efficiency

Inactive Publication Date: 2011-09-07
SHANDONG UNIV
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Problems solved by technology

Using this method can greatly improve the detection efficiency, but because the defect detection technology is not yet mature, the current defect detection method still has many problems such as slow detection speed, single detection method, and incapable of real-time processing.

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  • Method for detecting welding seam segmentation and defects of digital X-ray images
  • Method for detecting welding seam segmentation and defects of digital X-ray images
  • Method for detecting welding seam segmentation and defects of digital X-ray images

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Embodiment Construction

[0028] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0029] The implementation image of the present invention is the image of the TIFF format that size is 1920 * 1536, and development environment is Visual C++6.0, because the size of image is bigger, and weld seam defect only exists in the inside of weld seam, so in order to reduce actual operation To improve the operation efficiency of the algorithm, the amount of data is increased, and the weld seam is firstly segmented from the image.

[0030] 1. Image preprocessing

[0031] In order to avoid the influence of complex background, reduce the occurrence of intermittent boundary and feature extraction errors, and prepare for the next step of weld extraction and defect detection. The original image is first filtered. As a nonlinear filtering method, the median filter is the most commonly used and has the best effect. Therefore, median filtering is used h...

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Abstract

The invention relates to a method for detecting the welding seam segmentation and defects of digital X-ray images, belonging to the field of nondestructive testing. In the invention, aiming at the defect detection of a series of vertical bar-shaped X-ray welding seam images with a specific width range, when the welding seam segmentation is carried out, a segmentation method based on the welding seam horizontal width and vertical continuity in the welding images is adopted, and the segmentation method comprises the following steps: filtering, intensifying the images, segmenting a threshold, looking for the welding seam position, extracting the welding seam and carry out other steps. In the extraction of the defects, a method for combining edge detection and a subtraction method are utilized. The method provided by the invention can be used for rapidly and effectively segmenting the welding seam in the images, and the syncretic defect extraction algorithm can be used for better detecting the defects.

Description

technical field [0001] The invention relates to a radiation imaging technology, which belongs to the field of non-destructive testing, in particular to a digital X-ray image welding seam segmentation and defect detection method. Background technique [0002] At present, welding is one of the important process methods in the manufacturing field. With the rapid introduction of computer technology, automatic control technology, and information and software technology into the welding field, automation and intelligence of welding production have become an important direction for the development of welding technology in the 21st century. Computer vision technology has been widely used in the field of welding defect detection due to its large amount of information, high precision, and large detection range. X-ray inspection is one of the important methods commonly used in conventional non-destructive testing and is an important technology to ensure welding quality. The inspection...

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Application Information

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IPC IPC(8): G01N23/04G01N23/18G06T5/00
Inventor 李振华徐胜男魏宗娟张光先
Owner SHANDONG UNIV
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