Temple mural disease automatic calibration and virtual restoration method

Abstract

According to the invention, the defects in the prior art are overcome; the invention provides a temple mural disease automatic calibration and virtual restoration method. Due to the automatic diseasecalibration function, the workload of mural protection work is greatly reduced; the method has an important auxiliary effect on actual wall painting repairing work, meanwhile, a foundation is laid forvirtual repairing of the wall painting, secondary damage to the wall painting due to repeated repairing in the actual wall painting repairing process is reduced through virtual repairing of the wallpainting, and meanwhile reference is provided for the actual repairing work of the wall painting. According to the invention, the method comprises the following steps based on the obtained mural data,analyzing, calibrating and virtually repairing diseases existing in the mural; selecting or uploading an image of the fall-off disease from the cluster and submitting the image for calibration; the system automatically calling a TS-RG algorithm to perform automatic calibration, and a user capable of checking or downloading a calibration result image online for proofreading after calibration is completed; and after the user requirement being met, the user uploading the calibrated image to submit a repair task on a repair sub-module, and the system calling an ASB-LS algorithm to complete repair.

Description

technical field [0001] The invention discloses an automatic calibration and virtual restoration method for mural paintings in temples and temples, and belongs to the technical field of protection of ancient mural paintings and cultural relics. Background technique [0002] As one of the main cultural heritages, ancient temple murals contain rich historical, cultural and artistic information, vividly record the customs and social features of each nation, and have extremely high application value in the fields of history, science and art. Due to historical, climatic and environmental reasons, the murals in various temples have various degrees of shedding, peeling, and fading. Among them, the shedding disease is the most serious and needs to be protected urgently. In recent years, with the development of information technology, the rapid development of image processing and massive data storage, many experts and scholars have combined it with mural protection and applied it to t...

AI Technical Summary

Problems solved by technology

In recent years, the research on the fissure disease of tomb murals has realized the automatic calibration of mural fissure diseases by mainly using the color and texture features of murals combined with the connected domain measurement method. This method is suitable for automatic calibration of diseases with small disease areas and obvious lines. There is a problem of insufficient calibration when performing large-scale detachment disease calibration; for the mud spot disease of tomb murals, the spatial autocorrelation function is used to analyze the texture characteristics of the murals, and then the mask of the mud spot area of ​​​​the murals is obtained by combining the threshold segmentation method to achieve mud spot detection. Spot automatic calibration, the calibration effect is good but it takes a long time

[0007] 3. For mural damage restoration, at present, the traditional restoration algorithm for natural images is mainly used, and the Criminisi algorithm based on sample blocks is more widely used. In natural image restoration, many scholars start from the three restoration methods for this algorithm. The first main steps have been improved and good repair results have been achieved. However, when this algorithm is applied to mural restoration, the unique compositional characteristics of mural paintings are not considered, and the repaired results are often unsatisfactory. In addition, in the restoration process The local characteristics of the murals are not considered in the method. In the restoration process using the Criminisi algorithm, the global search method is used to find the best matching block, and the restoration takes a long time.

Images