Automatic characterization of titanium dioxide nanotubes by image processing of scanning electron microscopic images

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22310%2F16%3A43901758" target="_blank" >RIV/60461373:22310/16:43901758 - isvavai.cz</a>

Výsledek na webu

<a href="http://journals.sagepub.com/doi/pdf/10.1177/1847980416673784" target="_blank" >http://journals.sagepub.com/doi/pdf/10.1177/1847980416673784</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1177/1847980416673784" target="_blank" >10.1177/1847980416673784</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Automatic characterization of titanium dioxide nanotubes by image processing of scanning electron microscopic images

Popis výsledku v původním jazyce

The presented article deals with the assessment of titanium dioxide nanotube microscopic images by means of imageprocessing methods. Inner diameter, wall thickness, and fraction of intertubular space are among the basic parameters characterizing the quality of nanostructured material. These parameters are especially important during the process of nanomaterial development. Nanostructures were prepared by electrochemical oxidation on the surface of Ti-6Al-4V alloy. Results of this process are greatly influenced by the chosen experimental conditions, so objective evaluation of experimental results is very important for the optimal setting of experimental parameters. Image-processing methods could be successfully applied to microscopic images to obtain the aforementioned objective characterization criteria. Various methods, such as object classification, image filtering, and mathematical morphology, could be taken into consideration with respect to a specific type of image data. In addition, the algorithm proposed uses the advantages of adaptive thresholding, watershed transform, low-pass filtering, mathematical morphology and cluster analysis. The nanotube wall thickness evaluation is suggested by two different approaches for the characterization of variable quality of the images processed.

Název v anglickém jazyce

Automatic characterization of titanium dioxide nanotubes by image processing of scanning electron microscopic images

Popis výsledku anglicky

The presented article deals with the assessment of titanium dioxide nanotube microscopic images by means of imageprocessing methods. Inner diameter, wall thickness, and fraction of intertubular space are among the basic parameters characterizing the quality of nanostructured material. These parameters are especially important during the process of nanomaterial development. Nanostructures were prepared by electrochemical oxidation on the surface of Ti-6Al-4V alloy. Results of this process are greatly influenced by the chosen experimental conditions, so objective evaluation of experimental results is very important for the optimal setting of experimental parameters. Image-processing methods could be successfully applied to microscopic images to obtain the aforementioned objective characterization criteria. Various methods, such as object classification, image filtering, and mathematical morphology, could be taken into consideration with respect to a specific type of image data. In addition, the algorithm proposed uses the advantages of adaptive thresholding, watershed transform, low-pass filtering, mathematical morphology and cluster analysis. The nanotube wall thickness evaluation is suggested by two different approaches for the characterization of variable quality of the images processed.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

<a href="/cs/project/NV15-27726A" target="_blank" >NV15-27726A: Antibakteriální úprava povrchu ortopedických implantátů na bázi nanotrubic a nanostříbra</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

Nanomaterials and Nanotechnology

ISSN

1847-9804

e-ISSN

—

Svazek periodika

6

Číslo periodika v rámci svazku

November

Stát vydavatele periodika

HR - Chorvatská republika

Počet stran výsledku

13

Strana od-do

1-13

Kód UT WoS článku

000394644100001

EID výsledku v databázi Scopus

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