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Classifying image texture with statistical landscape features

机译:使用统计景观特征对图像纹理进行分类

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摘要

This paper proposes to use three-dimensional information derived from the graph of an image function for texture description. The graph of an image function is a rumpled surface appearing like a landscape. To characterize the texture through this landscape, six novel texture feature curves based on the statistics of the geometrical and topological properties of the solids shaped by the graph and a variable horizontal plane are used. The proposed statistical landscape features have been shown by systematic experiments to offer very low error rates on a large subset of the Brodatz texture album having excluded some nonhomogeneous images, the entire Brodatz texture set, as well as the VisTex texture collection.
机译:本文建议使用从图像函数图得出的三维信息进行纹理描述。图像函数的图形是看起来像风景的弄皱的表面。为了通过该景观表征纹理,使用了六种新颖的纹理特征曲线,这些曲线基于通过图形和可变水平面成形的固体的几何和拓扑特性的统计数据。系统的实验表明,建议的统计景观特征可在Brodatz纹理相册的大部分子集上提供极低的错误率,该错误子集排除了一些不均匀的图像,整个Brodatz纹理集以及VisTex纹理集合。

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