Title :
Image Processing Algorithm for Analyzing Chirality in Carbon Nanotubes
Author :
Bunes, Benjamin R. ; Catravas, Palma E. ; Hagerman, Michael E.
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;
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
DOI :
10.1109/NANO.2008.130
