摘要
提出了一种利用图像函数图的信息来进行纹理描述的方法.图像函数图在三维空间中所形成的曲面形状看起来像地形地貌.提出的方法被称为统计地形特征,它首先用一个可变水平平面去切割图像函数的图可得到一些实体,然后从这些实体的几何和拓扑属性推导出4条特征曲线来描述纹理特征.在Brodatz和VisTex纹理集上的比较实验结果表明,统计地形特征的检索性能高于多维度自回归纹理模型、统计几何特征和离散小波变换等方法.
A method of using information derived from the graph of an image function for texture description is proposed in this paper. The graph of an image function is a surface in the three-dimensional space that appears like a landscape. Four texture feature curves based on the statistics of geometrical and topological properties of the ~lids induced by the graph and a variable horizontal plane are used to characterize the texture. This method is named statistical landscape features （SLF）. Systematic experimental comparison using the Brodatz texture set as well as the VisTex texture set shows that the performance of the proposed statistical landscape features is higher than that of multi-resolution simultaneous auto-regressive, statistical geometrical features and discrete wavelet transform.
出处
《计算机研究与发展》
EI
CSCD
北大核心
2006年第4期702-707,共6页
Journal of Computer Research and Development
基金
国家自然科学基金项目(60275010)
上海市科学技术委员会重点基础研究计划基金项目(04JC14014)
模式识别国家重点实验室开放课题基金项目
关键词
纹理
纹理检索
统计地形特征
特征曲线
texture
texture retrieval
statistical landscape features
feature curve
