基于显著结构元素的纹理合成  

Salient structural elements based texture synthesis

作　　者：潘斌[1] 钟凡[1] 王帅[1] 陈为[1] 彭群生[1] 

机构地区：[1]浙江大学CAD&CG国家重点实验室,杭州310027

出　　处：《中国科学：信息科学》2011年第9期1126-1135,共10页Scientia Sinica(Informationis)

基　　金：国家自然科学基金(批准号:60970020)资助项目

摘　　要：某些样本纹理中包含按一定的特征分布的显著结构元素,而现有像素级别纹理合成算法难以保持样本纹理中显著结构元素的完整性以及分布特征等人眼更高感知层次的信息.本文提出了一种基于显著结构元素的纹理合成算法.首先,提取样本纹理中显著结构元素,根据各元素的空间位置建立邻接关系,分析每个结构元素的邻域信息,把结构元素的分布建模为Markov随机场模型.在合成过程中,采用邻域匹配算法,在样本纹理中查找最合适的结构元素,并将其添加到目标纹理中.另外,本文在后处理中通过添加噪声对显著结构元素进行各种随机变换,增加了目标纹理的多样性,实验结果表明,对于半结构性纹理,本文合成结果符合更高层次人眼感知特征.Salient structural elements are ubiquitous in natural textures,and their distribution exhibits some stochastic distribution features.Current texture synthesis algorithms can neither preserve the integrity of the elements nor capture this distributive information.We present an algorithm to treat this high-level visual information.Here,we address the issue by taking specific care of the structural elements.Our texture synthesis process grows the target texture one structural element at a time.A Markov random field model is assumed for the distribution of the salient structural elements.In the analysis process,the salient structural elements are first extracted,and their topological relationship is constructed.Next,in the synthesis process,to identify an unknown element with neighbors synthesized,we query the sample texture and find the most similar neighbor.The randomness of the target texture can be improved by randomly transforming the structural elements.Experimentation shows that our results pass scrutiny by the high-level visual processing of humans.

关 键 词：纹理合成 结构元素 随机变换 视觉感知 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]