ON THE IMPORTANCE OF ADVANCED IMAGE PROCESSING METHODS IN MATERIAL RESEARCH

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22310%2F16%3A43902021" target="_blank" >RIV/60461373:22310/16:43902021 - isvavai.cz</a>

Result on the web

<a href="http://www.icct.cz/getattachment/PREDCHOZI-KONFERENCE/2016/Proceedings_ICCT2016.pdf.aspx" target="_blank" >http://www.icct.cz/getattachment/PREDCHOZI-KONFERENCE/2016/Proceedings_ICCT2016.pdf.aspx</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

ON THE IMPORTANCE OF ADVANCED IMAGE PROCESSING METHODS IN MATERIAL RESEARCH

Original language description

Scanning electron microscopy and focused ion beam nanotomography belong to the common tools for investigation of microstructural features of numerous materials, e.g., porous media, ceramics, composites and alloys. Secondary electron (SE) and back-scattered electron (BSE) images obtained using these techniques often suffer from noise, non-uniform illumination or lack of contrast. Therefore, there is a continuous need for advanced image processing methods that are capable of remedying these shortcomings. For the purpose of microstructural analysis, the image processing usually includes histogram equalization, filtering in a spatial or frequency domain, and segmentation. The later operation is crucial for unique determination individual phases forming the material. However, without a careful preprocessing step, particularly involving filtering, results of segmentation can be questionable, i.e., locations of phase interfaces can be ambiguous. In an extreme case, segmentation can completely fail. In this contribution, we deal with the application of PDE-based image analysis of SE and BSE images of porous media and composite materials and its combination with other preprocessing steps, particularly histogram equalization. Using public domain software and our parallel computer code, we evaluate the performance of various edge-preserving diffusion filters and other classic blurring filters for porous media in two- and three-dimensional spatial domains. To do so, we segment the images using Otsu's method [4] of global thresholding and compare resulting macroscopic measures, e.g., volume fractions or a specific surface area, with their counterparts obtained independently of image analysis. In all cases, the edge-preserving diffusion filters beat the classic ones.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JI - Composite materials

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2016

Confidentiality

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

Article name in the collection

PROCEEDINGS of the 4th International Conference on Chemical Technology

ISBN

978-80-86238-94-4

ISSN

2336-811X

e-ISSN

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Number of pages

6

Pages from-to

268-273

Publisher name

Česká společnost průmyslové chemie (ČSPCH)

Place of publication

Praha

Event location

Mikulov, Czech Republic

Event date

Apr 25, 2016

Type of event by nationality

CST - Celostátní akce

UT code for WoS article

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