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首页> 外文期刊>Journal of nano research >Unsupervised Gabor Filter-bank Method for Characterization of the Self-assembled Hexagonal Lattice
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Unsupervised Gabor Filter-bank Method for Characterization of the Self-assembled Hexagonal Lattice

机译：自监督六角格的无监督Gabor滤波器组方法

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摘要

In this paper a new robust and precise ordering criterion for the characterization of self-assembled hexagonal lattice like Anodic aluminum Oxide (AAO) has been proposed. In order to unveil the mechanism for the self-organization process and deposition techniques in AAO, it is necessary to be able to have a quantitative objective criterion to evaluate the amount of order through every SEM sample of a material. Most of methods in the literature are only able to characterize the extreme case of highly ordered or lowly ordered texture well. But the real challenge is in characterizing the order of medium-ordered texture which is the dual concept of near-regular texture analysis in image processing. Our method based on more advanced image processing techniques, Gabor filter-bank, are able to characterize medium-ordered AAO textures more precisely. Our idea is also able to define the domain's place of the AAO image.
机译：本文提出了一种新的鲁棒且精确的有序准则，用于表征自组装六方晶格，如阳极氧化铝（AAO）。为了揭示AAO中自组织过程和沉积技术的机制，必须有一个定量的客观标准来评估材料的每个SEM样品中的有序量。文献中的大多数方法仅能够很好地描述高序或低序纹理的极端情况。但是真正的挑战在于表征中等顺序纹理的顺序，这是图像处理中接近规则纹理分析的双重概念。我们基于更先进的图像处理技术（Gabor滤波器组）的方法能够更精确地表征中等顺序的AAO纹理。我们的想法还能够定义AAO图像的域位置。

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