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Tytuł artykułu

Thresholding techniques and their performance evaluation for weld defect detection in radiographic testing

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Konferencja
International Conference on Computer Vision and Graphics ICCVG 2006 (25-27.09.2006 ; Warsaw, Poland)
Języki publikacji
EN
Abstrakty
EN
In non-destructive testing with 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 acceptance or rejection. Because of the complex nature of the considered images, and in order that the detected defect region represent the real defect as accurately as possible, the choice of the thresholding methods must be made judiciously. In this paper, performance criteria are used to conduct a comparative study of the thresholding methods based on the gray level histogram, the 2D histogram and the locally adaptive approach to weld defect detection in radiographic images.
Rocznik
Strony
557--566
Opis fizyczny
Bibliogr. 19 poz., il., tab.
Twórcy
autor
autor
  • Sign. and Imag. Proc. Laboratory, Research Center in Welding and NDT Route de Dely-Ibrahim, BP 64, Cheraga, 16600 Algiers, Algeria, nacereddine_naf@hotmail.com
Bibliografia
  • [1] Yasnoff W. A., Mui J. K., Bacus J. W.: Error measures for scene segmentation. Pattern Recognition, 9, 217-231, 1977.
  • [2] Otsu N.: A Threshold selection method from Gray-Level Histograms. IEEE Trans. Systems, Man, and Cybern, 9, 62-66, 1979.
  • [3] Rogerson J. H.: Defects in Welds. Their prevention and their significance. Applied Science publishers, 1983.
  • [4] Kapur J. N., Sahoo P. K., Wong A. K. C.: A New method for Gray-Level picture thresholding using the entropy of the histogram. Computer Vision, Graphics, and Image Proc, 29, 273-285, 1985.
  • [5] Levine M. D., Nazif A. M.: Dynamic measurement of computer generated image segmentations. IEEE Trans. Pattern Analys. Machine Intell., 7, 155-164, 1985.
  • [6] Tsai W. H.: Moment-preserving thresholding: A New Approach. Computer Vision, Graphics, and Image Proc. 29, 377-393, 1985.
  • [7] Kittler J., Illingworth J.: Minimum error thresholding. Pattern Recognition, 19(1), 1986.
  • [8] Niblack W.: Introduction to digital image processing. Prentice Hall, 1986.
  • [9] Sahoo P. K., Soltani S., Wong A. K. C.: A Survey of thresholding techniques. Computer Vision, Graphics, and Image Processing, 41, 233-260, 1988.
  • [10] Pal N. R., Pal S. K.: Entropy Thresholding. Signal Processing; 16, 97-108, 1989.
  • [11] Lee S. U., Chung S. Y., Park R. H.: A comparative performance study of several global thresholding techniques for segmentation. Computer Vision, Graphics, and Image Proc; 52, 171-190, 1990.
  • [12] Chang C. I., Chen K., Wang J., Althouse M. L. G.: A relative entropy-based approach to image thresholding. Pattern Recognition, 27(9), 1275-1289, 1994.
  • [13] Zhang Y. J.: A survey on evaluation methods for image segmentation. Pattern Recognition, 29(8), 1996.
  • [14] Soler L., Malandrin G., Delinguette H.: Segmentation Automatique: Application aux Angioscanners 3D. Revue de Traitement de Signal, 15, 1998.
  • [15] Sauvola J., Pietikakinen M.: Adaptive document image binarization. Pattern Recognition, 33, 225-236, 2000.
  • [16] De Carvalho A. et al.: Evaluation of the relevant features of welding Defects in Radiographie Inspection. Materials Research, 6(3), 427-432, 2003.
  • [17] Schwartz Ch.: Automatic evaluation of welded joints using image processing on radiographs. Conference Proceedings of American Institute of Physics, 657(1), 689-694, 2003.
  • [18] Nacereddine N.: 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, 2004.
  • [19] Sezgin M., Sankur B.: Survey over image thresholding techniques and quantitative performance evaluation. Journal of Electronic imaging, 13(1), 146-165, 2004.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA1-0026-0035
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