ASSISTANCE SYSTEM IN ARCHAEOLOGY FOR DETECTING CERAMIC ELEMENTS IN SAND USING ARTIFICIAL VISION
This article presents the advances in the development of an archaeology assistance system. The system applies artificial vision tools to detect ceramic elements immersed in sand. The system is being developed to work in parallel with a robot responsible for carefully removing the sand in archaeological excavations. The proposed algorithm is based on analysis techniques in the frequency domain that allow it to identify the remaining objects despite the significant similarities that they may have in terms of color with the sand. The results obtained show the excellent effectiveness of the algorithm in the segmentation of ceramic objects.