Defect Detection by Combination of Threshold and Multistep Watershed Techniques

Springer Science and Business Media LLC - Tập 56 - Trang 80-91 - 2020
M. R. Mohebbifar1, K. Omarmeli2
1Department of Physics, Faculty of Science, Malayer University, Malayer, Iran
2Department of Physics, University of Tarbiat Modares, Tehran, Iran

Tóm tắt

In this work proposes a technique to detect some types of defects based on the radiography method. Inspection tests include two categories, destructive and nondestructive. One of the nondestructive tests is radiographic test that is used to detect internal defect. In addition, the image processing methods are used to improve defect detection in the radiographic images. The watershed technique is one of the segmentation methods that used to analyze images based on needed information. The proposed method in this paper is combination threshold and multistage watershed technique that applies to detect some of welding defects such as lack of fusion, wormholes, incomplete filled groove, and incomplete penetration. Otsu’s threshold leads to an increase in the contrast of the image and then multistep watershed transformation used to detect discontinuities and defect welding.

Tài liệu tham khảo

Development of Protocols for Corrosion and Deposits Evaluation in Pipes by Radiography, Vienna: IAEA, 2005.

Baumbach, H., Cioclov, D., Kraus, S., and Schmitz, V., Non-destructive testing and quality management technology, Law Insur., 1998, no. 3(3), p. 191–195.

Duan Hu-Shi, Research on segmentation and distribution features of small defects, NDT&E Int., 2007, vol. 40, no. 1, pp. 397–404.

Ying Yin, Feature extraction and optimization of X-ray weld image classification, in 17th World Conf. Nondestr. Test., Shanghai, China, October 25–28, 2008.

Nanditha, N.M. and Manoharan, N., Comparative study on the suitability of feature extraction techniques for tungsten inclusion and hotspot detection from weld thermographs for online weld monitoring, Int. J. Eng. Mater. Sci., 2010, vol. 17, pp. 20–26.

Roerdink, J.B.T.M. and Meijster, A., The watershed transform: definitions, algorithms and parallelisation, Fundamenta Informaticae, 2000, vol. 41, pp. 187–228.

Bienick, A. and Moga, A., An efficient watershed algorithm based on connected components, Pattern Recogn., 2000, vol. 33, no. 3, pp. 907–916.

Gonzalez, R.C. and Woods, R.E., Digital Image Processing. Instructor’s Manual Version 3.0, 2008, 3rd ed.

Alaknanda, Kumar, P., and Anand, R.S., Comparative evaluation of edge detection techniques for feature extraction in ultrasound NDT images, in Proc. Int. Conf. ICSCI-2004, NISTET, Hyderabad, India, February 12–15, 2004, pp. 337–341.

Gonzalez, R.C., Woods, R.E., and Eddins, S.L., Digital Image Processing Using MATLAB, 2009, 2nd ed.

MATLAB Software, Database Toolbox™, User’s Guide, R2011b.