Image analysis algorithm for the verification of hexagonal symmetry in spherical nanostructures

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F22%3A00556001" target="_blank" >RIV/68378271:_____/22:00556001 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21110/22:00356656

Výsledek na webu

<a href="https://doi.org/10.1016/j.mee.2021.111635" target="_blank" >https://doi.org/10.1016/j.mee.2021.111635</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.mee.2021.111635" target="_blank" >10.1016/j.mee.2021.111635</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Image analysis algorithm for the verification of hexagonal symmetry in spherical nanostructures

Popis výsledku v původním jazyce

Verification of ordering and symmetry is essential to enhance the nanofabrication process of periodic nano-structures. In this paper, we present the open-source software HEXI, which can detect circles and distinguish between perfect hexagonal ordering and defect configurations. The proposed user-friendly image analysis soft-ware (implemented in Python) consists of several stages. First, the algorithm identifies circular structures in microscopy (e.g., scanning electron microscopy, atomic force microscopy) images using the Canny edge detector and the Hough circle transform. Then, the detected circles are categorized as hexagonally ordered or non- hexagonally ordered (defects). This classification can be achieved using three different methods: variance in brightness (global or adaptive) and distance.

Název v anglickém jazyce

Image analysis algorithm for the verification of hexagonal symmetry in spherical nanostructures

Popis výsledku anglicky

Verification of ordering and symmetry is essential to enhance the nanofabrication process of periodic nano-structures. In this paper, we present the open-source software HEXI, which can detect circles and distinguish between perfect hexagonal ordering and defect configurations. The proposed user-friendly image analysis soft-ware (implemented in Python) consists of several stages. First, the algorithm identifies circular structures in microscopy (e.g., scanning electron microscopy, atomic force microscopy) images using the Canny edge detector and the Hough circle transform. Then, the detected circles are categorized as hexagonally ordered or non- hexagonally ordered (defects). This classification can be achieved using three different methods: variance in brightness (global or adaptive) and distance.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Microelectronic Engineering

ISSN

0167-9317

e-ISSN

1873-5568

Svazek periodika

251

Číslo periodika v rámci svazku

Jan

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

10

Strana od-do

111635

Kód UT WoS článku

000710177300002

EID výsledku v databázi Scopus

2-s2.0-85118727388