Feature extraction of symbols in petroglyphs based on SIFT algorithm
Abstract
Currently, petroglyphs are facing various potential damages, especially the significant damage caused by weathering. To protect petroglyphs from damage, this article takes the petroglyph group in Helan Mountains as an example and collects them based on machine vision. They are divided into four categories based on character, animal, simple geometry, and religious symbols, and filtering is used to denoise and increase the collected images. Petroglyphs’ features are extracted using the SIFT (scale-invariant feature transform) algorithm. The results show that the method proposed in this paper has a good extraction effect on the petroglyph features of Helan Mountains, with a recognition accuracy of over 95%, providing ideas for the protection of petroglyphs in Helan Mountains.
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DOI: https://doi.org/10.32629/jai.v7i5.1661
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