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Multi-scale image contrast enhancement method for pipeline welding seam detection

A welding seam detection and image comparison technology is applied in the field of multi-scale image contrast enhancement for pipeline weld inspection, which can solve problems such as dark X-ray digital imaging, and achieve the effects of improving quality, improving detection accuracy, and improving local clarity.

Inactive Publication Date: 2017-06-13
四川迪派锐科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

High-quality digital negatives are helpful for professional technicians to quickly and effectively judge whether there are defects, but for pipeline welds, the weld joint part of the pipe wall is thicker than other parts, which makes the X-ray digital imaging of the weld darker. Defective Judgment

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  • Multi-scale image contrast enhancement method for pipeline welding seam detection
  • Multi-scale image contrast enhancement method for pipeline welding seam detection
  • Multi-scale image contrast enhancement method for pipeline welding seam detection

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Embodiment Construction

[0040] The original X-ray image of the pipeline weld is attached Figure 11 As shown, the multi-scale image contrast enhancement method of the present invention is used for processing, and the steps are as follows figure 1 As shown, the specific description is as follows:

[0041] S01, image preprocessing is performed on the original image, the steps are as follows figure 2 As shown, specifically:

[0042] s011. Data type conversion: convert the bitmap data of the original image into double-precision data;

[0043] s012. Logarithmic transformation: expand the low gray value part and compress the high gray value part to achieve the purpose of emphasizing the low gray value part;

[0044] s013. Median filtering: smoothing impulse noise, such as abnormal pixels on a flat panel detector;

[0045] s014. Image grayscale normalization: weaken the influence of different X-ray intensities or directions on subsequent image processing;

[0046] S02. Decompose the preprocessed image...

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Abstract

The invention discloses a multi-scale image contrast enhancement method for pipeline welding seam detection. The method comprises the following steps of performing preprocessing including data type conversion, logarithmic transformation, median filtering and image grayscale normalization; performing image decomposition including down-sampling, up-sampling and detailed image calculation; and performing image reconstruction: performing up-sampling, performing detail enhancement processing on bL-1, adopting an exponential function y=ax / x / p-1 as an enhancement function, and performing detail enhancement to obtain yL-1; performing addition, continuing to perform up-sampling, repeating the process until y0 after b0 detail enhancement is added, and obtaining a reconstructed image, so that multi-scale image contrast enhancement is finished. According to the method, a pipeline welding seam X-ray image can be enhanced, so that a welding seam part is made clear, expression of detail defects such as bubbles, cracks, slag inclusion and the like is facilitated, and detection accuracy is improved.

Description

technical field [0001] The invention relates to pipeline weld detection, in particular to a multi-scale image contrast enhancement method for pipeline weld detection. Background technique [0002] Pipelines are widely used in industrial production, pipeline transportation, national defense construction, etc., and the quality inspection of pipeline welds is an indispensable link in pipeline welding production. Pipeline welding quality inspection mainly includes two aspects: appearance inspection and internal inspection. Appearance inspection mainly detects the outline size of weld seam and appearance defects such as weld bead and undercut, and can carry out preliminary quality screening for the produced pipeline. However, the appearance inspection cannot detect the internal defects of the weld, such as air bubbles, cracks, slag inclusions, etc. X-ray digital imaging is the most commonly used method for internal inspection of welds. Through the analysis and processing of dig...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T2207/10116G06T5/73
Inventor 李运键徐浩刘长山李诗武胡道未袁蓉姜小容
Owner 四川迪派锐科技有限公司
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