Abstract
The radiographic inspection of weld beads is important to ensure quality and safety in pipe networks. Visual fatigue, distractions, and the amount of radiographic images to be analyzed can be listed as main factors for human inspection errors. This chapter presents an approach for automatically segmenting weld beads in Double Wall Double Image (DWDI) X-ray photographs by combining two known methods in the literature: Particle Swarm Optimization (PSO) and Dynamic Time Warping (DTW). Vertical profiles of the weld beads are obtained from the windows’ coordinates encoded by particles and compared, via DTW, with a predefined model. Experiments are performed considering two phases: first, tests are carried out to set the default configuration, and second the configured system (named WBdetect) is evaluated, including a comparison with another approach. Promising results show that WBdetect converges, most of the time, to the window that allows a proper segmentation of the weld bead, outperforming the compared approach (the average accuracy achieved by WBdetect is 93.63 \(+-\)12.91, and 65.88 \(+-\)17.9 % for the other approach).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Andreucci R, Radiologia industrial (2014). http://www.abendi.org.br/abendi/Upload/file/Radiologia-Jul-2014.pdf
de Azevedo ACG (2011) Implementação de um método para reconhecimento on-line de assinaturas. http://bdm.unb.br/bitstream/10483/1538/1/2011_AugustoCesarGoncalvesdeAzevedo.pdf
Chino DYT (2014) Mineração de padrões frequentes em séries temporais para apoio à tomada de decisão em agrometereologia. Master’s thesis, USP - São Carlos, http://www.teses.usp.br/teses/disponiveis/55/55134/tde-04062014-142915/publico/dissertacaoRevisadaChino.pdf
Felisberto MK, Lopes HS, Centeno TM, De Arruda LVR (2006) An object detection and recognition system for weld bead extraction from digital radiographs. Comput Vis Image Underst 102(3):238–249
Suyama FM, Krefer AG, Faria AR, Centeno TM (2013) Identificação da região central de cordões de solda em imagens radiográficas de tubulações de petróleo do tipo parede dupla vista dupla. In: Proceedings of 4th Brazilian conference on intelligent systems (BRACIS), pp 1–11. Sociedade Brasileira de Computação
Jeske J (2011) Similaridade de séries temporais na bolsa de valores. http://www.lume.ufrgs.br/bitstream/handle/10183/31034/000782115.pdf?sequence=1
Kennedy J, Eberhart R (1995) Particle swarm optimization. In: Proceedings of the IEEE International Conference on Neural Networks, vol 4, pp 1942–1948
Kroetz MG (2012) Sistema de apoio na inspeção radiográfica computadorizada de juntas soldadas de tubulações de petróleo. Master’s thesis, CPGEI - Federal University of Technology
Liao TW, Ni J (1996) An automated radiographic ndt system for weld inspection: part i - weld extraction. Ndt E Int 29(3):157–162
Miranda RAR, Delgado MR, Centeno TM, da Silva RD, de Oliveira Vaz, M (2015) Enxame de Partículas para segmentação de cordão de solda em imagens radiográficas. In: Anais do XII Congresso Brasileiro de Inteligência Computacional, pp 1–6. Sociedade Brasileira de Inteligência Computacional
de Oliveira Vaz M (2015) Detecção de cordão de solda em imagens radiográficas do tipo parede dupla vista dupla através do PSO e do DTW. Tech. rep., CPGEI - Federal University of Technology, Curitiba, Paraná, Brazil. http://www.dainf.ct.utfpr.edu.br/~myriam/Technical_Report_Download/Relatorio_Tecnico_PSO_DTW_MarlonVaz.pdf
Paliwal KK, Agarwal A, Sinha SS (1982) A modification over sakoe and chiba’s dynamic time warping algorithm for isolated word recognition. Signal Process 4(4):329–333
Perlin HA, Lopes HS, Centeno TM (2008) Particle swarm optimization for object recognition in computer vision. In: New frontiers in applied artificial intelligence, pp 11–21. Springer, Heidelberg
Sakoe H, Chiba S (1978) Dynamic programming algorithm optimization for spoken word recognition. IEEE Trans Acoust Speech Signal Process 26(1):43–49
Shi Y, Eberhart R (1998) A modified particle swarm optimizer. In: The 1998 IEEE international conference on evolutionary computation proceedings, 1998. IEEE world congress on computational intelligence, pp 69–73. IEEE, New York
Shi Y, Eberhart RC (1999) Empirical study of particle swarm optimization. In: Proceedings of the 1999 congress on evolutionary computation, CEC 99, vol 3. IEEE, New York
Telles PCdS (1976) Tubulações industriais. In: Tubulações industriais. Livros Técnicos e Científicos
Waintraub M, Pereira C, Schirru R (2009) Parallel particle swarm optimization algorithm in nuclear problems. http://www.iaea.org/inis/collection/NCLCollectionStore
Acknowledgments
This work has been partially supported by the Brazilian National Research Council (Conselho Nacional de Pesquisa - CNPq), under research grant 309197/2014-7 to M.R. Delgado. The authors would also like to thank Leopoldo Americo Miguez de Mello R&D Center - CENPES, Brazilian Petroleum - PETROBRÁS.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Miranda, R., Delgado, M., Mezzadri, T., Dutra da Silva, R., Vaz, M., Marinho, C. (2017). WBdetect: Particle Swarm Optimization for Segmenting Weld Beads in Radiographic Images. In: Nedjah, N., Lopes, H., Mourelle, L. (eds) Designing with Computational Intelligence. Studies in Computational Intelligence, vol 664. Springer, Cham. https://doi.org/10.1007/978-3-319-44735-3_12
Download citation
DOI: https://doi.org/10.1007/978-3-319-44735-3_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-44734-6
Online ISBN: 978-3-319-44735-3
eBook Packages: EngineeringEngineering (R0)