A histogram-based segmentation method for characterization of self-assembled hexagonal lattices

Applied Surface Science

Volumn 257, Issue 24, 2011, Pages 10443-10450

  Abdollahifard, Mohammad J ^a   Faez, Karim ^a,b   Pourfard, Mohammadreza ^a   Abdollahi, Mojtaba ^c  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

^b INSTITUTE FOR STUDIES IN THEORETICAL PHYSICS AND MATHEMATICS IPM   (Iran)

^c UNIVERSITY OF KASHAN   (Iran)

Author keywords

Anodic alumina oxide characterization; Image processing; Nanostructures; Quantitative grain analysis

Indexed keywords

ALUMINA; ALUMINUM OXIDE; ANODIC OXIDATION; CHARACTERIZATION; CRYSTAL LATTICES; GRAPHIC METHODS; IMAGE PROCESSING; NANOSTRUCTURES;

ANODIC ALUMINA OXIDE; ANODIZED ALUMINUM OXIDE; CHARACTERIZATION METHODS; CHARACTERIZATION TECHNIQUES; DOMINANT ORIENTATION; HISTOGRAM BASED SEGMENTATION; ORIENTATION DISTRIBUTIONS; QUANTITATIVE GRAIN ANALYSIS;

PARAMETER ESTIMATION;

EID: 80052919232     PISSN: 01694332     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apsusc.2011.06.139     Document Type: Article

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