Underwater cable detection in the images using edge classification based on texture information

Antich, 2003, Underwater cable tracking by visual feedback, Pattern Recog. Image Anal., 2652, 53, 10.1007/978-3-540-44871-6_7 M. Asif, R.M. Arshad, A. Yahya, An active contour for underwater target tracking and navigation, in: Proceedings of International Conference on Man-Machine Systems (ICoMMS 2006), Langkawi Islands, Malaysia, 15–16 September 2006. A. Balasuriya, et al., Multi-sensor fusion for autonomous cable tracking, OCEANS’99 MTS/IEEE Riding the Crest into the 21st Century, 13–16 September 1999. Erener, 2009, A methodology for land use change detection of high resolution pan images based on texture analysis, Ital. J. Rem. Sens., 41, 47, 10.5721/ItJRS20094124 P. Egeskov, M. Bech, R. Bowley, C. Aage, Pipeline inspection using an autonomous underwater vehicle, vol. 5, in: Proceedings of the 14th International Conference on Offshore Mechanics and Arctic Engineering, 1995, pp. 539–546. A. Inzartsev, A. Pavin, AUV cable tracking system based on electromagnetic and video data, in: Proceedings of Oceans, Kobe, Japan, 8–11 April, 2008, pp. 1–6. Y. Ito, N. Kato, J. Kojima, S. Takagi, K. Asakawa, Y. Shirasaki, Cable tracking for autonomous underwater vehicle, in: Proceedings of the 1994 Symposium on Autonomous Underwater Vehicle Technology, 1994, pp. 218–224. M.D. Iwanowski, Surveillance unmanned underwater vehicle, in: Proceedings of IEEE Oceans, 1994, pp. I116–I119. Ortiz, 2002, A vision system for an underwater cable tracker, Mach. Vis. Appl., 13, 129, 10.1007/s001380100065 S. Matsumoto, Y. Ito, Power cables: real-time vision-based tracking of submarine cables for AUV/ROV, in: Proceedings of Oceans, San Diego, USA, 9–12 October 1995, pp. 1997–2002. A. Grau, J. Climent, J. Aranda, Real-time architecture for cable tracking using texture descriptors, vol. 3, in: OCEANS’98 Conference Proceedings, 28 September–1 October 1998, pp. 1496–1500. Hallset, 1996 P. Rives, J.J. Borelly, Underwater pipe inspection task using visual servoing techniques, in: Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robots and Systems, 7–11 September 1997. Sokolova, 2007, Performance measures in classification of human communications, Lect. Notes Comput. Sci., 4509/2007, 159, 10.1007/978-3-540-72665-4_14 G.L. Shapiro, C.G. Stockman, Computer Vision, Prentice Hall, first ed., 2001. G.N. Srinivasan, G. Shobha, Statistical texture analysis, vol. 36, in: Proceedings of World Academy of Science, Engineering and Technology, December 2008, ISSN 2070-3740. P. Zingaretti, G. Tascini, P. Puliti, S. Zanoli, Imaging approach to real-time tracking of submarine pipelines, vol. 2661, in: IS&T/SPIE Electronic Imaging, Real Time Imaging Conference, SPIE, San Jose, 1996, pp. 129–137. Ballard, 1981, Generalizing the Hough transform to detect arbitrary shapes, Pattern Recog., 13, 111, 10.1016/0031-3203(81)90009-1 Leibe, 2008, Robust object detection with interleaved categorization and segmentation, IJCV, 77, 259, 10.1007/s11263-007-0095-3 S. Maji, J. Malik, Object detection using a max-margin Hough tranform, CVPR, 2009. M.J.T. Reinders, R.W.C. Koch, J.J. Gerbrands, Locating facial features in image sequences using neural networks, in: 2nd International Conference in Face and Gesture Recognition, October 1996, pp. 230–235. Pontil, 1998, Support vector machines for 3D object recognition, IEEE Trans. Pattern Anal. Mach. Intell., 20, 637, 10.1109/34.683777 Tefas, 2001, Using support vector machines to enhance the performance of elastic graph matching for frontal face authentication, IEEE Trans. Pattern Anal. Mach. Intell., 23, 735, 10.1109/34.935847 Liu, 2007, Soft SVM and it’s application in video-object extraction, IEEE Trans. Signal Process, 55, 10.1109/TSP.2007.894403