Image Thresholding for Weld Defect Extraction in Industrial Radiographic Testing

Authors: Nafaâ Nacereddine, Latifa Hamami, Djemel Ziou

Abstract:

In non destructive testing by radiography, a perfect knowledge of the weld defect shape is an essential step to appreciate the quality of the weld and make decision on its acceptability or rejection. Because of the complex nature of the considered images, and in order that the detected defect region represents the most accurately possible the real defect, the choice of thresholding methods must be done judiciously. In this paper, performance criteria are used to conduct a comparative study of thresholding methods based on gray level histogram, 2-D histogram and locally adaptive approach for weld defect extraction in radiographic images.

Keywords: 1D and 2D histogram, locally adaptive approach, performance criteria, radiographic image, thresholding, weld defect.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1080195

References:

[1] J. H. Rogerson, "Defects in welds - Their prevention and their significance". Applied science publishers, 1983.
[2] De Carvalho & al., "Evaluation of the relevant features of welding defects in radiographic inspection," Materials Research, vol. 6, n┬░ 3, pp. 427-432, 2003.
[3] Ch. Schwartz, "Automatic Evaluation of Welded Joints Using Image Processing on Radiographs," Conference Proceedings American Institute of Physics, vol 657(1) pp. 689-694, 2003.
[4] L. Soler, G. Malandrin, H. Delinguette, "Segmentation automatique: Application aux angioscanner 3D," Revue de Traitement de Signal, vol. 15, 1998.
[5] M. Sezgin, B. Sankur, "Survey over image thresholding techniques and quantitative performance evaluation," Journal of Electronic imaging 13(1), Jan. 2004, pp. 146-165.
[6] S.U. Lee, S.Y. Chung, R.H. Park, "A Comparative Performance Study of Several Global Thresholding Techniques for Segmentation," Computer Vision, Graphics, and Image Processing, vol. 52, 1990, pp. 171-190.
[7] N. Otsu, "A Threshold Selection Method from Gray-Level Histograms," IEEE Trans. on Systems, Man, and Cybern. vol. SMC-9, 1979, pp. 62- 66.
[8] J. Kittler and J. Illingworth, "Minimum Error Thresholding," Pattern Recognition, vol. 19, no.1, 1986.
[9] J.N. Kapur, P.K. Sahoo, and A.K.C.Wong, "A New Method for Gray- Level Picture Thresholding Using the Entropy of the Histogram," Computer Vision, Graphics, and Image Processing, vol. 29, 1985, pp. 273-285.
[10] W-H. Tsai, "Moment-Preserving Thresholding: A New Approach," Computer Vision, Graphics, and Image Processing, vol. 29, 1985, pp. 377-393.
[11] N. R. Pal and S. K. Pal, "Entropy thresholding," Signal Processing, vol. 16, 1989, pp. 97-108.
[12] S.S. Lee, S.J. Horng and H.R. Tsai, "Entropy Thresholding and Its Parallel Algorithm on the Reconfigurable Array of Processors with Wider Bus networks," IEEE Trans. Image Processing, vol. 8 no. 9, Sept. 1999, pp.1229-1242.
[13] C.I. Chang, K. Chen, J. Wang and M.L.G. Althouse, "A Relative entropy-based approach to image thresholding, Pattern Recognition, vol. 27. no.9, 1994, pp. 1275-1289.
[14] W. Niblack, Introduction to digital image processing. Prentice Hall, 1986.
[15] J. Sauvola, M. Pietikakinen , "Adaptive document image binarization". Pattern Recognition, 33, 2000 pp. 225-236.
[16] Y. J. Zhang, "A survey on evaluation methods for image segmentation," Pattern Recognition, vol. 29 no.8, 1996.
[17] W. A. Yasnoff, J. K. Mui, and J. W. Bacus, "Error measures for scene segmentation," Pattern Recognition, vol. 9, 1977, pp. 217-231.
[18] M. D. Levine and A. M. Nazif, "Dynamic measurement of computer generated image segmentations," IEEE Trans. PAMI, vol. 7, 1985, pp. 155-164.
[19] P. K. Sahoo, S. Soltani, A. K. C. Wong, "A survey of thresholding techniques". Computer Vision, Graphics, and Image Processing, vol. 41, 1988, pp. 233-260.
[20] N. Nacereddine, "Weld defect detection and recognition in industrial radiography based image analysis and neuronal classifiers," 4th International Conference on NDE in Relation to Structural Integrity for Nuclear and Pressurised Components, London, 6-8 Dec. 2004