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Welding defect detection from radiography images with a cepstral approach

机译：用倒谱法从射线照相图像中检测焊接缺陷

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摘要

ABSTRACT This paper presents a new approach for feature extraction from radiography images acquired with gamma rays in order to detect weld defects. In this approach, images are lexicographically ordered into 1D signals. Then, Mel-Frequency Cepstra! Coefficients (MFCCs) and polynomial coefficients are extracted from these signals, one of their transforms, or both of them. Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT), and Discrete Sine Transform (DST) are tested and compared for efficient feature extraction. Neural networks are used for feature matching in the proposed approach. Sixteen radiography images containing seventy three weld defects are used to evaluate the performance of the proposed approach. For performance evaluation, the tested images are degraded by Gaussian, impulsive, speckle, or Poisson noises with and without blurring. The experimental results show that the proposed approach can be used in a reliable way for automatic defect detection from radiography images in the presence of noise and blurring.
机译：摘要本文提出了一种新方法，用于从用伽马射线获取的放射线图像中提取特征，以检测焊接缺陷。在这种方法中，按字典顺序将图像排序为一维信号。然后，梅尔频率倒谱！从这些信号，它们的变换之一或两者中提取系数（MFCC）和多项式系数。测试并比较了离散小波变换（DWT），离散余弦变换（DCT）和离散正弦变换（DST），以进行有效的特征提取。在所提出的方法中，将神经网络用于特征匹配。包含73个焊缝缺陷的16幅射线照相图像用于评估所提出方法的性能。为了进行性能评估，被测试的图像会因高斯，脉冲，斑点或泊松噪声而变模糊，而不会模糊。实验结果表明，所提出的方法可以可靠地用于在有噪声和模糊的情况下从放射线图像自动检测缺陷。

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  • 来源
    《NDT & E international》 |2011年第2期|p.226-231|共6页
  • 作者

    H. Kasban; O. Zahran; H. Arafa; M. El-Kordy; S.M.S. Elaraby; F.E. Abd El-Samie;

  • 作者单位

    Engineering Department, Nuclear Research Center, Atomic Energy Authority, Egypt;

    Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menofia University, Menouf 32952, Egypt;

    Engineering Department, Nuclear Research Center, Atomic Energy Authority, Egypt;

    Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menofia University, Menouf 32952, Egypt;

    Engineering Department, Nuclear Research Center, Atomic Energy Authority, Egypt;

    Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menofia University, Menouf 32952, Egypt;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    welding; defect detection; radiography; feature extraction; mfccs; dwt; dct; dst;

    机译：焊接;缺陷检测;射线照相;特征提取;mfccs;dwt;dct;dst;

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