VIRTUAL RESTORATION OF STONE INSCRIPTIONS BASED ON IMAGE ENHANCEMENT AND EDGE DETECTION

A method of virtual restoration of inscribed texts is proposed for blurred inscriptions. Firstly, the image enhancement method is used to enhance the image of the current topos, and the optimal method is selected to highlight the text information. Secondly, the extracted text outline is extracted from the enhanced image, and the extracted text outline is partially processed to obtain a smooth outline, and finally the fill function is used to fill the text outline to complete the virtual restoration of the inscribed text. The experimental results prove that the method can restore for blurred text and retain the original stele text writing style. The results of this experiment can provide a reference basis for the virtual restoration of other inscriptions on the central axis

A REVIEW OF POINT CLOUD SEGMENTATION OF ARCHITECTURAL CULTURAL HERITAGE

With the continuous development of laser scanning technology, the model reconstruction and information management system of architectural cultural heritage are gradually taking shape. Among them, point cloud segmentation of architectural cultural heritage is important for Historic Building Information Model (HBIM), disease extraction and analysis, heritage restoration and other research. This paper mainly focuses on the systematic analysis and summary of the point cloud segmentation of architectural cultural heritage, introduces related concepts, and summarizes the segmentation methods from three aspects: traditional methods, machine learning based on artificial features, and deep learning. In addition, this paper summarizes the evaluation metrics and public datasets of semantic segmentation commonly used today, and further elucidates the relevant applications after segmentation. Finally, this paper analyzes and prospects the main problems and future development trends. This review aims to provide a useful reference for relevant researchers in the field of architectural cultural heritage protection

Novel Method for Virtual Restoration of Cultural Relics with Complex Geometric Structure Based on Multiscale Spatial Geometry

Because of the age of relics and the lack of historical data, the geometric forms of missing parts can only be judged by the subjective experience of repair personnel, which leads to varying restoration effects when the geometric structure of the complex relic is reconstructed. Therefore, virtual repair effects cannot fully reflect the historical appearance of cultural relics. In order to solve this problem, this paper presents a virtual restoration method based on the multiscale spatial geometric features of cultural relics in the case of complex construction where the geometric shape of the damaged area is unknown, using the Dazu Thousand-Hand Bodhisattva statue in China as an example. In this study, the global geometric features of the three-dimensional (3D) model are analyzed in space to determine the geometric shape of the damaged parts of cultural relics. The local geometric features are represented by skeleton lines based on regression analysis, and a geometric size prediction model of the defective parts is established, which is used to calculate the geometric dimensions of the missing parts. Finally, 3D surface reconstruction technology is used to quantitate virtual restoration of the defective parts. This method not only provides a new idea for the virtual restoration of artifacts with complex geometric structure, but also may play a vital role in the protection of cultural relics