Abstract
Ancient ceramics is an important carrier of concretization and artistic transformation of Traditional Chinese culture. It is also an extremely indispensable link for the world to understand traditional Chinese culture. It is of great significance to ensure the quality of ceramic products and improve the reliability of products by nondestructive testing of ceramic microdefect cracks. It is necessary to extract the microdefect crack area first and describe the characteristics of the ceramic crack image with the gradient weighting feature of the model to complete the nondestructive detection of the crack image. The traditional method sets the pixel point and brightness threshold according to the pixel value of the microdefect area but ignores the description of the weighted feature of the image and completes the nondestructive detection of the microdefect crack image of ceramic products. In this study, the improved algorithm of edge detection based on cluster analysis was applied to the ancient ceramic crack repair. First, cluster analysis is used to optimize the Sobel operator in edge detection. Then, the gray value distribution of edge detection map is changed by the Clustering algorithm. Finally，the experimental results show that the contour crack trace and edge direction of the improved edge detection map are obviously enhanced by 20%, which is beneficial to improve the accuracy of ancient ceramic crack repair.
Highlights
Ceramics occupy a very important position in Chinese culture
There are few enterprises capable of producing high-quality architectural ceramic products. erefore, in order to change the status quo of large but not strong Chinese ceramic industry and improve the status of Chinese ceramic industry in the world, it is necessary to improve the production of high-quality ceramics technology research and development ability and the production of advanced ceramic material technology research and development ability, which is the basis and key to produce high-grade ceramic products [4, 5]. e premise of improving the research and development of high-quality ceramic materials is to strengthen the experimental analysis of ceramic materials [6]
With the rapid development of multimedia technology and computer technology, the wide use of digital image acquisition equipment, as well as the popularity of network applications, a large number of ceramic image information has been digitized, and the use of computer processing of digital image information pottery and porcelain can avoid the low efficiency of traditional research process [7–9]. e workload is heavy, and the objectivity is difficult to guarantee
Summary
Ceramics occupy a very important position in Chinese culture. Since the late Eastern Han Dynasty, when China successfully fired mature celadon, China’s porcelain-making technology has been in a leading position in the world in the long history until the late Qing Dynasty [1–3]. China’s ceramics industry scale and total production are at the forefront of the world; China’s ceramic industry is large but not strong, and a series of problems such as backward scientific research technology of ceramics, especially advanced ceramics, are a major bottleneck restricting China to become a powerful country in the ceramic industry. With the rapid development of multimedia technology and computer technology, the wide use of digital image acquisition equipment, as well as the popularity of network applications, a large number of ceramic image information has been digitized, and the use of computer processing of digital image information pottery and porcelain can avoid the low efficiency of traditional research process [7–9]. How to remove repetitive information and show users more kinds of images becomes important It is the urgent application demand of users to carry out research on the content diversity of ceramic image retrieval. There are even fewer professional technicians who can use numerical information intelligence and other technologies to repair damaged ancient ceramics. e application of the above technologies has changed the limitation of using traditional methods to detect and analyze ceramic materials, greatly reduced the cost of ceramic material analysis and improved the efficiency of ceramic material analysis [16, 17]
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