3D Surface Texture Synthesis Based On Hybrid Genetic And Simulated Annealing Algorithm

Texture synthesis is one of the most important research areas during the past twenty years. It has a rich variety of application fields, such as computer vision, image processing and computer graphics.Real-world surface textures normally comprise rough surface geometry and various reflectance properties. These surface textures are different from 2D still texture as their images can vary dramatically with illumination directions. However, traditional methods on texture synthesis only use 2D static textures while effect due to the fact that changing illumination and view conditions is ignored. Thus, the research on 3D surface texture synthesis is more realistic. The 3D surface texture synthesis deals with 3D texture under different illumination and viewpoint conditions. It works on representation extraction, analysis, synthesis and texture rendering. The 3D surface texture synthesis is an important sub-area within the image processing. It will play an important role in image areas.In this thesis, the 2D synthesis methods are first introduced. And then 2D texture synthesis method based on hybrid genetic and simulated annealing algorithm is proposed. Next the 3D surface texture synthesis framework and 3D texture synthesis algorithms are introduced. According to the framework, a novel approach for flow visualization based on 3D surface texture synthesis is presented. Furthermore, the new 2D texture synthesis approach is extended into multi-dimensional space and a 3D texture synthesis algorithm based on hybrid genetic and simulated annealing algorithm is designed. In the end, the 3D surface texture synthesis experiments are showed and the experiment results prove that the 3D surface texture synthesis algorithm offers a good performance.