Research And Implementation Of Interactive Texture Replacement Algorithm For Animation Image

With the popularity of the network and the rapid development of the animation industry,the market demand for animation is corresponding increasing.However,the production of animation is a complicated process,the birth of animation products need a long production cycle,which led to the high cost and low yield of animation industry.Therefore,how to improve the production of animation products,the key is to improve the animation production technology,shorten the production cycle.After in-depths observation and research on the animation,we found that although each frame comic is hand painted,and every detail needs to be carefully carved,but there are still some animation image recurring elements,such as sand,grass,the surface of the fabric,wallpaper,surface and tree epidermis.Can the rendering of these regions be replaced by other efficient methods? In view of this series of problems,this paper puts forward a scheme of interactive texture replacement for cartoon images,which can save time and improve efficiency to a great extent.This paper focuses on the following three aspects.The first aspect is image segmentation.The premise of texture replacement is to separate the replaced region from other regions,which related to image segmentation in image processing.In this paper,the image segmentation algorithm based on SLIC is proposed after a deep analysis and research on several kinds of image segmentation algorithms.On the basis of SLIC superpixels generation algorithm,the image segmentation algorithm is improved and innovative,and the result is better.The second aspect is texture recommendation.It is a tedious process to look for the appropriate texture in thousands of images.Texture recommendation can be a good solution to this problem.In this paper,based on the original texture feature extraction algorithm,a series of new texture metrics are summarized,such as the textureness,homogeneity,repetitiveness,etc.In addition,we also build a huge texture database.Combined with these texture features,the semantic texture recommendation is proposed.By setting the texture feature,the system can recommend the corresponding texture from the texture database.Final aspect is texture synthesis,The perfect replacement to the texture image is a key step.In this paper,we analyze the performance of various texture synthesis algorithms,and choose Graphcut texture synthesis algorithm.And the algorithm is improved in parallel,and based on the original algorithm,this paper puts forward a new method of lighting customization.In terms of time and composition,the Graphcut algorithm is improved.