Abstract
This paper presents a new real-time runway detection based on synthetic vision and level set method. It mainly focuses on the initial level set function and time performance. As for the initial level set function, three-thresholding segmentation is derived to obtain the subset of the runway, which serves as an initial curve to induce the initial level set function. As for time performance, a ROI (Region of Interest) based evolution method is proposed. Analysis of experimental results and comparisons with existing algorithms demonstrate the efficiency and accuracy of the proposed method.
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Arnold, V.I.: Geometrical Methods in the Theory of Ordinary Differential Equations. Springer, New York (1983)
Balla-Arabe, S., Gao, X., Wang, B.: A fast and robust level set method for image segmentation using fuzzy clustering and lattice Boltzmann method. IEEE Trans. Cybern. 43(3), 910–920 (2013)
Chan, T.F., Sandberg, B.Y., Vese, L.A.: Active contours without edges for vector-valued images. J. Vis. Commun. Image Represent. 11(2), 130–141 (2000)
Chan, T.F., Vese, L.A.: Active contours without edges. IEEE Trans. Image Process. 10(2), 266–277 (2001)
Farrell, J.: Integrated Aircraft Navigation. Elsevier, Amsterdam (2012)
Korn, G.A., Korn, T.M.: Mathematical Handbook for Scientists and Engineers: Definitions, Theorems, and Formulas for Reference and Review. Courier Corporation, Chelmsford (2000)
Li, C., Xu, C., Gui, C., Fox, M.D.: Level set evolution without re-initialization: a new variational formulation. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, pp. 430–436. IEEE (2005)
Osher, S., Sethian, J.A.: Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations. J. Comput. Phys. 79(1), 12–49 (1988)
Otsu, N.: A threshold selection method from gray-level histograms. Automatica 11(285–296), 23–27 (1975)
Shi, Y., Karl, W.C.: A real-time algorithm for the approximation of level-set-based curve evolution. IEEE Trans. Image Process. 17(5), 645–656 (2008)
Shi, Y., Karl, W.C.: A fast level set method without solving PDEs. In: The 30th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 97–100. IEEE (2005)
Yu, H., Zhang, X., Wang, S., Hou, B.: Context-based hierarchical unequal merging for SAR image segmentation. IEEE Trans. Geosci. Remote Sens. 51(2), 995–1009 (2013)
Acknowledgment
The work was supported in part by the Open Project of the Key Lab of Enterprise Informationization and Internet of Things of Sichuan Province under Grant No. 2017WZY01, Natural Science Foundation of Sichuan University of Science and Engineering (SUSE) under Grant Nos. 2015RC08, 2017RCL54 and JG-1707. The authors would like to thank National Natural Science Foundation of China under Grant No. 11705122, NSERC, Canada, for their financial support of this research.
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Liu, C., Cheng, I., Basu, A. (2018). Synthetic Vision Assisted Real-Time Runway Detection for Infrared Aerial Images. In: Basu, A., Berretti, S. (eds) Smart Multimedia. ICSM 2018. Lecture Notes in Computer Science(), vol 11010. Springer, Cham. https://doi.org/10.1007/978-3-030-04375-9_23
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DOI: https://doi.org/10.1007/978-3-030-04375-9_23
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