Abstract
A new separating algorithm for quasi-circle overlapping images based on improved Hough transform is proposed in this paper. This method according to a circle’s geometrical property that any point on circumference along the normal direction of the straight line must pass the center of the circle, can extract the central area of the targets, which is used to solve the separating problem of quasi-circle overlapping images. Experiments show that the proposed method can obtain acceptable results.
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Acknowledgments
This work was supported in part by the National Natural Science Foundation of China (Grant No. 60705035).
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© 2013 Springer-Verlag Berlin Heidelberg
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Cheng, S., Fang, K., Liu, X. (2013). Separating Algorithm for Quasi-Circle Overlapping Images Based on Improved Hough Transform. In: Lu, W., Cai, G., Liu, W., Xing, W. (eds) Proceedings of the 2012 International Conference on Information Technology and Software Engineering. Lecture Notes in Electrical Engineering, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34531-9_40
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DOI: https://doi.org/10.1007/978-3-642-34531-9_40
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