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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

<a href="/en/project/NV15-27726A" target="_blank" >NV15-27726A: Technologies of nano-tubes and nano-silver for antibacterial surface treatment of orthopaedic implants</a><br>

Continuities

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

Publication year

2016

Confidentiality

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

Name of the periodical

Nanomaterials and Nanotechnology

ISSN

1847-9804

e-ISSN

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Volume of the periodical

6

Issue of the periodical within the volume

November

Country of publishing house

HR - CROATIA

Number of pages

13

Pages from-to

1-13

UT code for WoS article

000394644100001

EID of the result in the Scopus database

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