DocumentCode
2739275
Title
Image Processing Algorithm for Analyzing Chirality in Carbon Nanotubes
Author
Bunes, Benjamin R. ; Catravas, Palma E. ; Hagerman, Michael E.
fYear
2008
fDate
18-21 Aug. 2008
Firstpage
424
Lastpage
427
Abstract
Carbon nanotubes have attracted much attention due to their unique electrical properties, which depend on chirality. Most synthesis techniques produce carbon nanotubes with broad range of chiral angles. A system to identify the different classifications of carbon nanotubes could be very useful, with applications such as automated robotic sorting. An algorithm to extract chirality from images of carbon nanotubes characterized by STM has been developed.
Keywords
carbon nanotubes; chirality; image processing; nanotechnology; physics computing; C; STM; automated robotic sorting; carbon nanotubes; chiral angles; chirality; electrical property; image processing algorithm; synthesis techniques; Algorithm design and analysis; Carbon nanotubes; Chemical vapor deposition; Conductivity; Electrons; Image analysis; Image processing; Nanotechnology; Robotics and automation; Sorting;
fLanguage
English
Publisher
ieee
Conference_Titel
Nanotechnology, 2008. NANO '08. 8th IEEE Conference on
Conference_Location
Arlington, TX
Print_ISBN
978-1-4244-2103-9
Electronic_ISBN
978-1-4244-2104-6
Type
conf
DOI
10.1109/NANO.2008.130
Filename
4617112
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