RT journal article
T1 Nanoparticle Localization Using Gabor Filters
A1 Hernández-Robles, Andrei
A1 Barcena González, Guillermo
A1 Mayoral, Álvaro
A1 Galindo Riaño, Pedro Luis
A1 Ponce, Arturo
A2 Ingeniería Informática
AB Gabor filters are described as functions product of a Gaussian-shaped kernel and a complex sinusoid function that minimizes the uncertainty principle between the spatial and frequency domains [1, 2]. These filters are specially utilized in computer vision for texture analysis and feature extraction of images, due the nature of the function itself it is possible to extract observations that are well defined and repetitive in the 2D space [3]. For this reason, the high periodicity registered in high resolution transmission electron microscopy (HRTEM) images of crystalline nanoparticles as well as and their shape morphology is highly exploitable. In this work we present a comprehensive method based on Gabor filters to localize in an automatic and efficient manner the nanoparticles, which can be implemented in dynamic studies using in situ transmission electron microscopy (TEM). In this way, orientation, and frequency of appearance of the features observed in the input signal are relevant to analyze the specimen, for instance, planes are rotated around the space occupied by each particle. An important parameter to be considered is the wavelength of the passed filters, which may be determined by the interplanar spacings of the high-resolution images.
SN 1431-9276
YR 2022
FD 2022-08-01
LK http://hdl.handle.net/10498/31980
UL http://hdl.handle.net/10498/31980
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 22-sep-2026