机构地区: 中国科学院计算技术研究所
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
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 图像基 混合基 分离基 视觉元素 纹理分割
领 域: [自动化与计算机技术] [自动化与计算机技术]