传统分形图案的纹样在表现实际景物特征方面存在不足。针对这一问题,提出了一种基于纹理渲染的分形图案设计概念和技术,并改进了W e i的点匹配纹理合成算法,即首先用2维自相关函数先分析纹理的构成和分布,然后确定合成的L形邻域大小,最...传统分形图案的纹样在表现实际景物特征方面存在不足。针对这一问题,提出了一种基于纹理渲染的分形图案设计概念和技术,并改进了W e i的点匹配纹理合成算法,即首先用2维自相关函数先分析纹理的构成和分布,然后确定合成的L形邻域大小,最后将分形图案作为结构约束,并在HSL颜色空间上控制色彩渲染,实现了结构约束的纹理合成,并通过选择两个特殊的分形数集来进行实验,生成了既有样图纹理特征,又能控制色彩变化的分形图案。展开更多
Traditional fractal pattern design has some disadvantages such as inability to effectively reflect the characteristics of real scenery and texture. We propose a novel pattern design technique combining fractal geometr...Traditional fractal pattern design has some disadvantages such as inability to effectively reflect the characteristics of real scenery and texture. We propose a novel pattern design technique combining fractal geometry and image texture synthesis to solve these problems. We have improved Wei and Levoy (2000)’s texture synthesis algorithm by first using two-dimensional autocorrelation function to analyze the structure and distribution of textures, and then determining the size of L neighborhood. Several special fractal sets were adopted and HSL (Hue, Saturation, and Light) color space was chosen. The fractal structure was used to manipulate the texture synthesis in HSL color space where the pattern’s color can be adjusted conveniently. Experiments showed that patterns with different styles and different color characteristics can be more efficiently generated using the new technique.展开更多
文摘传统分形图案的纹样在表现实际景物特征方面存在不足。针对这一问题,提出了一种基于纹理渲染的分形图案设计概念和技术,并改进了W e i的点匹配纹理合成算法,即首先用2维自相关函数先分析纹理的构成和分布,然后确定合成的L形邻域大小,最后将分形图案作为结构约束,并在HSL颜色空间上控制色彩渲染,实现了结构约束的纹理合成,并通过选择两个特殊的分形数集来进行实验,生成了既有样图纹理特征,又能控制色彩变化的分形图案。
基金Project supported by the Natural Science Foundation of Zhejiang Province (No. M603228), Zhejiang Science and Technology Plan Project, and Ningbo Science Foundation for Doctor, China
文摘Traditional fractal pattern design has some disadvantages such as inability to effectively reflect the characteristics of real scenery and texture. We propose a novel pattern design technique combining fractal geometry and image texture synthesis to solve these problems. We have improved Wei and Levoy (2000)’s texture synthesis algorithm by first using two-dimensional autocorrelation function to analyze the structure and distribution of textures, and then determining the size of L neighborhood. Several special fractal sets were adopted and HSL (Hue, Saturation, and Light) color space was chosen. The fractal structure was used to manipulate the texture synthesis in HSL color space where the pattern’s color can be adjusted conveniently. Experiments showed that patterns with different styles and different color characteristics can be more efficiently generated using the new technique.