Abstract
In this paper we present a novel approach to image description. Our method is based on the Canny edge detection. After the edge detection process we apply a self-designed crawler method. The presented algorithm uses edges in order to move on pixel edges and describe the entire object. Our approach is closely related with the content-based image retrieval and it can be used as a pre-processing stage but can also be used for general purpose image description. The experiments proved the effectiveness of our method as it provides better results then the SURF descriptor.
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Acknowledgments
The work presented in this paper was supported by a grant BS/MN-1-109-301/15/P “New approaches of storing and retrieving images in databases” and by the Polish National Science Centre (NCN) within project number DEC-2011/01/D/ST6/06957.
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Grycuk, R., Gabryel, M., Scherer, M., Voloshynovskiy, S. (2016). Image Descriptor Based on Edge Detection and Crawler Algorithm. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2016. Lecture Notes in Computer Science(), vol 9693. Springer, Cham. https://doi.org/10.1007/978-3-319-39384-1_57
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