Automatic Recognition and Repair System of Mural Image Cracks Based on Cloud Edge Computing and Digitization

Abstract

Mural painting is the art on the wall, it is the painting that people draw on the wall, it is one of the earliest forms of painting in human history, and it is also an accessory part of the building. The decorative and beautifying functions of murals make them an important aspect of environmental art. Cloud edge computing is a combination of cloud computing and edge computing, that fully absorbs the advantages of both cloud computing and edge computing and maximizes their advantages. In this study, based on cloud edge computing and digital technology, the automatic identification and repair system of fresco image cracks is studied. Image segmentation techniques have been proposed in this study, using 60 murals in three regions as experimental objects. Through experimental analysis, it is found that the traditional pine poise treatment method takes the shortest repair time. However, for a specific image, it is difficult to guarantee the quality of its restoration. The mural image in area A was repaired with the conventional pine pitch repair method, which took 113.01 seconds, and the subjective evaluation was 69 points. Using the repair method described in this study to repair, it takes 127.38 seconds, and its subjective evaluation score is the highest, which is 87 points. The experimental results have shown that the cloud edge computing method and digital technology have had a certain positive effect on the identification and repair system of fresco image cracks.

Current progress on murals: distribution, conservation and utilization

“…Therefore, virtual restoration of the murals may have great potential for mural conservation and research [ 17 , 135 ]. Using computer technology, digitally repaired damaged murals can be helpful for the virtual display of the murals, and it has been shown that cloud edge computing could be a useful tool to automatically identify and repair the cracks of murals [ 136 ]. Deep learning and visual reality technology can build a digital recognition model which can accurately identify the colors and drawing materials of each specific color and thus be of great significance for the preservation simulation of murals [ 137 , 138 ].…”

Optimization of Digital Inheritance Pathway of Folk Art in Information Age

“…Intangible cultural heritage should be adapted to digitization in the new era, pay attention to the important role of digitization in the collection, storage, processing, display and dissemination of intangible heritage, and form a renewable digital form, so as to revitalize the vernacular culture in the context of modernity [7]. Based on this, in order to better protect and inherit folk art, and give full play to its unique cultural value and social function in the context of the new era, it is necessary to discuss in depth the development of the digital protection of folk art, the principle of the requirements and the development path, so as to break through the limitations of the development of folk art and other vernacular cultures, and to provide ideas for the promotion of digital protection of China's intangible cultural heritage and the revitalization of the countryside and other related issues [8].…”