An Image Warping Technology Based Automatic Ceramic Surface Pattern Generation Algorithm

This paper presents a novel automatic ceramic surface pattern generation algorithm based on image warping technology. The image warping technology represents a space variant transformation which can redefine the spatial relationship between different points in a specific image. Firstly, the formal description of the image warping problem is given, and it is of great importance to keep the one to one property in the image warping process. Afterwards, a warping field is calculated using the Hermite-Birkhoff interpolation through the radial basis function for the proposed algorithm. Particularly, we concentrate on the 2-dimensional image warping technology. The main task of this paper is to solve a pixel to pixel mapping process based on an image feature vector, which is related initial image and the warping image. The main innovations of the proposed algorithm lie in that we utilize the first order Markovian assumption to convert the automatic ceramic surface pattern generation problem into an energy minimizing problem. Finally, experimental results demonstrate the effectiveness of the proposed algorithm.