纹理图像基及其应用  

Texture Image Bases and Their Applications

作　　者：向世明[1] 赵国英[1] 陈睿[1] 贾富仓[1] 李华[1] 

机构地区：[1]中国科学院计算技术研究所智能信息处理重点实验室

出　　处：《计算机辅助设计与图形学学报》2005年第7期1529-1535,共7页Journal of Computer-Aided Design & Computer Graphics

基　　金：国家"八六三"高技术研究发展规划项目(2001AA231031);国家重点基础研究发展规划项目(G1998030608);国家科技攻关计划课题奥运科技专项(2001BA904B08)

摘　　要：纹理图像被视为基本微模式的线性组合·拓扑图格独立分量分析首先被用来学习图像基,然后根据生成模型,通过变换图像基获得基本微模式·最后给出了其两个应用例子:从微模式中提取基本视觉元素,并提出了相应的算法;将学习获得的分离基视为滤波器,实现其纹理分割·对比实验分析表明,该算法可取得满意的分割结果·This paper treats texture image as a linear superposition of a group of fundamental micro-patterns. The topographic independent component analysis is employed first to learn the image bases, and those mixing bases are then transformed into micro-patterns, according to the generative model. Two examples of applications of image bases are illustrated finally. One is to extract the fundamental visual elements from micro-patterns, and the other is texture segmentation by using the learned unmixing bases as filters. Experiments on mosaic texture images show that the segmenting results are satisfactory.

关 键 词：拓扑图格独立分量分析(TICA) 图像基 混合基 分离基 视觉元素 纹理分割 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]