Frequency Filter Bank for Enhancing Carbon Nanotube Images

被引：0

作者：

Guerrero Casas, Jose de Jesus ^{[1
]}

Dalmau, Oscar ^{[2
]}

Alarcon, Teresa E. ^{[1
]}

Zamudio, Adalberto ^{[3
]}

机构：

[1] Univ Guadalajara, Ctr Univ Valles, Dept Ciencias Comp & Ingn, Ameca, Jalisco, Mexico

[2] CIMAT AC, Ctr Invest Matemat, Monterrey, Nuevo Leon, Mexico

[3] Univ Guadalajara, Ctr Univ Ciencias Exactas & Ingn, Guadalajara 44430, Jalisco, Mexico

来源：

HUMAN-INSPIRED COMPUTING AND ITS APPLICATIONS, PT I | 2014年 / 8856卷

关键词：

Image enhancement; spatial filtering; frequency domain; thresholding; Gaussian filter; bank of filters; carbon nanotubes (CNT);

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Improving digital images of carbon nanotubes is an important task for characterizing nanotube structures in Nanoscience and Nanotechnology. A two-step algorithm is proposed for enhancing the information of carbon nanotube images, which are obtained by a scanning electron microscopy. In the first step it is carried out the characterization of the intensity profile of the nanotube by using the first and second derivatives along with the local variance. Then, for analyzing the intensity profile of the nanotubes, an adaptive spatial filter is designed. The first step allows to represent the intensity profile of the nanotube through a Gaussian model. In the second step, a Gaussian-matched filter Bank is designed in the frequency domain for enhancing the nanotube information, considering different values of thickness and orientation for the filter bank.

引用

页码：316 / 326

页数：11

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