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首页> 外文期刊>Journal of Nondestructive Evaluation >Wall Thickness Measurement of Pipes Using Digital Radiography and Three Wavelet Methods
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Wall Thickness Measurement of Pipes Using Digital Radiography and Three Wavelet Methods

机译：使用数字射线照相和三个小波方法的管道壁厚测量

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摘要

Digital X-ray radiography is a well established method for non-destructive detection of corrosion and measurement of wall thickness of pipes. Due mainly to the unavoidable detection of scattered X-rays as well as the ever-present system electronic noise, the quality of the acquired radiographs is often low; the quality can however be enhanced by applying various image processing methods. In this research, Wavelet Transform (WT), Gabor Filters (GF) and Shearlet Transform (ST) have been utilized in a background removing algorithm to achieve the required radiographic image quality improvement. The algorithm first decomposes the image into different levels using the WT, GF or the ST method, and the automatic thresholding level, which is based on Rayleigh distribution, is then applied. The output images (with the background removed) were then reconstructed by subtracting the modified component from the original radiograph. The results of the study showed that the reconstructed images yield significantly greater contrast than the original radiograph, the wall thickness measurements have higher precision and defect detection has greater specificity for defect in all regions. Also, the outcomes show that the algorithm has high analytical efficiency and is capable of accurately measuring pipe wall thicknesses and corrosion regions.
机译：数字X射线放射造影是一种良好的非破坏性检测管道腐蚀和测量管道的腐蚀性和测量方法。主要是由于不可避免的散射X射线检测以及以往的系统电子噪音，所获取的射线照相的质量通常很低;然而，通过应用各种图像处理方法可以提高质量。在该研究中，在背景消除算法中已经利用了小波变换（WT），Gabor滤波器（GF）和Shearlet变换（ST）以实现所需的放射线图像质量改进。该算法首先使用WT，GF或ST方法将图像分解为不同的电平，并且然后应用基于瑞利分布的自动阈值电平。然后通过从原始射线照片中减去修改的组件来重建输出图像（除了删除的背景）。该研究的结果表明，重建的图像产量比原始射线照相显着更大，壁厚测量具有更高的精度，缺陷检测对所有地区的缺陷具有更大的特异性。此外，结果表明该算法具有高分析效率，并且能够精确测量管壁厚度和腐蚀区域。

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