Qualitative and quantitative interpretation of SEM image using digital image processing
PBN-AR
Instytucja
Wydział Inżynierii Metali i Informatyki Przemysłowej (Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie)
Informacje podstawowe
Główny język publikacji
EN
Czasopismo
Journal of Microscopy-Oxford
ISSN
0022-2720
EISSN
1365-2818
Wydawca
WILEY-BLACKWELL
Rok publikacji
2016
Numer zeszytu
1
Strony od-do
102--124
Numer tomu
264
Link do pełnego tekstu
Identyfikator DOI
Liczba arkuszy
1.6
Autorzy
(liczba autorów: 2)
Pozostali autorzy
+ 1
Słowa kluczowe
EN
coatings
digital image
scanning electron microscopy
micromechanical test
image processing algorithms
Streszczenia
Język
EN
Treść
The aim of the this study is improvement of qualitative and quantitative analysis of scanning electron microscope micrographs by development of computer program, which enables automatic crack analysis of scanning electron microscopy (SEM) micrographs. Micromechanical tests of pneumatic ventricular assist devices result in a large number of micrographs. Therefore, the analysis must be automatic. Tests for athrombogenic titanium nitride/gold coatings deposited on polymeric substrates (Bionate II) are performed. These tests include microshear, microtension and fatigue analysis. Anisotropic surface defects observed in the SEM micrographs require support for qualitative and quantitative interpretation. Improvement of qualitative analysis of scanning electron microscope images was achieved by a set of computational tools that includes binarization, simplified expanding, expanding, simple image statistic thresholding, the filters Laplacian 1, and Laplacian 2, Otsu and reverse binarization. Several modifications of the known image processing techniques and combinations of the selected image processing techniques were applied. The introduced quantitative analysis of digital scanning electron microscope images enables computation of stereological parameters such as area, crack angle, crack length, and total crack length per unit area. This study also compares the functionality of the developed computer program of digital image processing with existing applications. The described pre- and postprocessing may be helpful in scanning electron microscopy and transmission electron microscopy surface investigations. 2016 The Authors Journal of Microscopy 2016 Royal Microscopical Society.
Cechy publikacji
original article
peer-reviewed
Inne
System-identifier
idp:101131
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