Abstract
In this paper we present an approach for the segmentation and recognition of petroglyphs from images of rock art reliefs. To identify symbols we use a shape descriptor derived by 2-D Fourier transform, which is independent to scale and rotation, and robust to shape deformations. The efficacy of the algorithm has been validated by testing it with scenes and test images extracted from the archeological site located in Mount Bego (France). The results have been compared with those obtained by other descriptors.
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Deufemia, V., Paolino, L. (2014). Segmentation and Recognition of Petroglyphs Using Generic Fourier Descriptors. In: Elmoataz, A., Lezoray, O., Nouboud, F., Mammass, D. (eds) Image and Signal Processing. ICISP 2014. Lecture Notes in Computer Science, vol 8509. Springer, Cham. https://doi.org/10.1007/978-3-319-07998-1_56
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DOI: https://doi.org/10.1007/978-3-319-07998-1_56
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