Abstract
The study of the ancient ceramic is of great significance to the identification of authenticity, value recognition, cultural types, and dissemination channels of the ceramic. In this study, a series of technical problems such as ceramic contour extraction, image distortion correction, and nonlinear contour modeling for 3D printing of rotating body under complex background were solved and a restoration algorithm for the shape of ancient ceramics was proposed. Then, an accurate contour model is established by using the two-dimensional images of the rotating ancient ceramics to reconstruct the three-dimensional model of the ceramic shape. The experimental results show that the modeling algorithm for three-dimensional printed ceramics can accurately obtain the three-dimensional model of rotating ancient ceramics, which is of certain significance to explore a new direction of the research and development of three-dimensional printed ancient ceramics.
Highlights
Archaeological Ceramics in China have a long history and are rich in cultural relics
Many researchers have tried to obtain the ancient ceramic shape by using various image processing methods, due to the problems of two-dimensional image distortion, complex image background, and large difference in image quality, the extracted model error is large, and the restored 3D model deformation is serious [20]. ese problems have long been difficult to break through and become the shackles of the development of 3D printing technology of ancient ceramics [21,22,23,24,25]. In view of this background, this paper under the background of solving complex contour extraction and image distortion correction, under the premise of technical bottlenecks, developed a set of technologies based on machine vision of the ancient porcelain ware three-dimensional reduction algorithm; this algorithm can go through nonlinear image enhancement, the distortion compensation, and curve fitting such as machine vision and pattern recognition technology to build accurate model of the ancient porcelain ware. e complete information of ancient ceramic ware type can be obtained by a few parameters
Standard data Test data strange parts such as neck, tail, and base. e data show that the mean square error (MSE) of the precision of mold fitting is only 5.12 × 10−3, much smaller than the traditional method of mean square error (MSE) 1.2 × 10−2; for the realization of three-dimensional accurate reduction of ancient ceramics lay a solid foundation
Summary
Archaeological Ceramics in China have a long history and are rich in cultural relics. Ese problems have long been difficult to break through and become the shackles of the development of 3D printing technology of ancient ceramics [21,22,23,24,25] In view of this background, this paper under the background of solving complex contour extraction and image distortion correction, under the premise of technical bottlenecks, developed a set of technologies based on machine vision of the ancient porcelain ware three-dimensional reduction algorithm; this algorithm can go through nonlinear image enhancement, the distortion compensation, and curve fitting such as machine vision and pattern recognition technology to build accurate model of the ancient porcelain ware. Equations (1) and (2) are used to perform two-dimensional discrete wavelet transform on the image F (x, y) with the original image size of M × N and decompose the original image
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