Ancient architecture component restoration technology based on three-dimensional holographic quantitative phase model Available to Purchase

Non-destructive testing techniques are used to obtain integral data from the detection of structural defects during the protection and repair of ancient buildings. It is necessary to judge the scope of the application and measurement error. The damage data of building components with serious defects are constructed into a standardised data analysis model to achieve macro and micro quantitative prediction. The authors study the application of holographic image projection technology in the repair, project the damage characteristics of wooden components in the component image and improve the original positioning model. The accuracy of the phase positioning algorithm is also improved. The neural network feature analysis automatically calibrates the damaged part and the repair weight value, and the dual transfer function fusion algorithm is optimised. The fusion technology index appears from the multi-angle combination, which can achieve the effect of image feature inflection point and external feature edge fusion. Using a three-dimensional holographic quantitative phase model, through comparison with the detection experiment on the raw materials, and combining this with the standard evaluation method of material characteristics, it is verified that the method is obviously better than the original components for the repair effect; this contributes to enhancing the value of ancient architectural relics.