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With the development of high technology, the digitization of works of art and cultural relics is no longer a problem. How to extract enough and accurate information from a large number of complex information for our use is a common problem in practice. With the continuous improvement of digital inkjet technology and color ink quality, many digital products have appeared in the market, such as digital oil painting, digital traditional Chinese painting, digital calligraphy, digital printmaking, digital paper cutting, digital embroidery and other digital art replicas. However, in addition to modeling, pattern is also an important part of art. Chinese traditional patterns have a long history and brilliant achievements. After solving the problem of production automation, leading enterprises in various industries began to seek detection automation and assembly automation based on machine vision. Machine vision technology has become one of the hot spots in the industry. With the rapid development of 3D technology, its application scope is becoming more and more daily, from cultural relic restoration, simulation manufacturing, digital sculpture to ceramic art production, etc. Machine vision should use image recognition technology instead of human eyes to measure and judge, which is more efficient, more accurate and more objective, and can be repeated endlessly, greatly improving the degree of automation of production. This paper focuses on the three-dimensional patterns of ceramic artworks, aiming at high-quality reproduction and design re-creation, deeply studies the collection and image splicing technology of three-dimensional patterns of ceramic artworks, and constructs an image reproduction system, which realizes the whole digital process from three-dimensional pattern shooting, preprocessing, image correction, two-dimensional transformation of three-dimensional images, image registration, image fusion to generation of complete two-dimensional patterns.
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