Edge tracking method of damaged mural images based on deep learning

ZHANG, Li-wei and FENG, Huan-ping (2020) Edge tracking method of damaged mural images based on deep learning. In: Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace.

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Abstract

The traditional edge tracking method of damaged mural images has the phenomenon of high noise variance in the process of tracking, which affects the actual performance of tracking. Therefore, an edge tracking method based on deep learning is proposed.Through image preprocessing, the image gray mean

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 13:45
Last Modified: 17 Apr 2026 10:01
URI: http://eprints.eai.eu/id/eprint/31459

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