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31 January 2020 A method of detecting end-to-end curves of limited curvature
E. I. Panfilova, Mikhail Aliev, Irina Kunina, V. V. Postnikov, Dmitry P. Nikolaev
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Proceedings Volume 11433, Twelfth International Conference on Machine Vision (ICMV 2019); 114330K (2020) https://doi.org/10.1117/12.2559871
Event: Twelfth International Conference on Machine Vision, 2019, Amsterdam, Netherlands
Abstract
In this paper we consider a method for detecting end-to-end curves of limited curvature like the k-link polylines with bending angle between adjacent segments in a given range. The approximation accuracy is achieved by maximization of the quality function in the image matrix. The method is based on a dynamic programming scheme constructed over Fast Hough Transform calculation results for image bands. The proposed method asymptotic complexity is O(h⋅(w+h/k)⋅log(h/k)), where h and w are the image size, and k is the approximating polyline links number, which is an analogue of the complexity of the fast Fourier transform or the fast Hough transform. We also show the results of the proposed method on synthetic and real data.
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E. I. Panfilova, Mikhail Aliev, Irina Kunina, V. V. Postnikov, and Dmitry P. Nikolaev "A method of detecting end-to-end curves of limited curvature", Proc. SPIE 11433, Twelfth International Conference on Machine Vision (ICMV 2019), 114330K (31 January 2020); https://doi.org/10.1117/12.2559871
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KEYWORDS
Hough transforms
Detection and tracking algorithms
Image analysis
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