Detection and Location of Underwater Pipeline Based on Mathematical Morphology for an AUV

Abstract:

Underwater pipelines of oil and gas need periodic inspection to prevent damage due to the biological activity of water, turbulent current and tidal abrasion. Currently, vision-based autonomous underwater vehicle plays an important role in this field. A system has been designed to help an autonomous vehicle in sea-bottom survey operation. Image understanding and object recognition directly affect the accuracy of inspection. An image smoothing method based on mathematical morphology is proposed. The disturbances on acquired images caused by the motion are partially removed. A series of algorithms about image preprocessing, segmentation and recognition are proposed to access pipeline contours from the top-view images effectively. Navigation data based on Hough transformation is presented after the analysis of contours. Finally, the processing effect on a pipeline image demonstrates the effectiveness of the system.

• Periodical: Key Engineering Materials (Volume 561)
• Pages: 591-596
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.561.591
• Online since: July 2013
• Authors: Xian Lun Wang, Li Li, Yu Xia Cui
• Keywords: AUV, Hough Transformation, Mathematical Morphology, Pipeline Detection

References

[1] Ortiz A, Miquel simó and Oliver G: Machine Vision and Application Vol. 13 (2002), p.129

[2] Primo Zhngaretti, Silvia Maria Zanoli: Engineering Applications of Artificial Intelligence Vol. 11(1998), p.257

[3] Ortiz A, Oliver G and Frau J: Ocean' 97 MTS/IEEE Conference Proceeding, Vol. 2(1997), p.1425

[4] Santos-Victor J, Sentieiro J: Proceedings of the IEEE Symposium on AUV Technology, (1994), p.28

[5] Xu X, Negahdaripour S: Ocean' 97 MTS/IEEE Conference Proceeding Vol. 2(1997), p.1412

[6] Foresti, G. L, S. Gentili: Journal of Oceanic Engineering Vol. 27(2002), p.66

[7] G. Tascini, P. Z ingaretti. and G.P. Conte: Electron. Imaging Vol. 5(1996), p.423

[8] D. Brutzmann, M. Burns, M. Cambell, D. Davis, T. Healey, M. Holden, B. Leonhardt, D. Mclarin, B. McGhee, and R.W.NPS: Proc. IEEE Autonomous Underwater Vehicle conf (1996), p.99

[9] S.D. Fleischer and S.M. Rock: Proc. IEEE Autonomous Under-water Vehicle Conf, Conference (1998).

[10] Fieguth, P. W. and Sinha, S. K.: IEEE Image Processing Conf., Kobe, Japan (1999), p.395

[11] Matsumoto S, Ito Y: Proceedings of MTS/IEEE Oceans (1995), p. (1997)

[12] M.Bold, R.Weiss and E. Rieseman: IEEE Trans.Syst., Man, Cybern. Vol. 19, p.1581

[13] Md.Foisal Hossain, Mohammad Reza Alsharif: International Conference on Convergence Information Technology, p.1439

[14] Lin Zhao, Xili Wang: International Congress on Image and Signal Processing (2010), p.1436