• DocumentCode
    3642119
  • Title

    Detection of elliptical particles in atomic force microscopy images

  • Author

    Jiří Sedlář;Barbara Zitová;Jaromír Kopeček;Tatiana Todorciuc;Irena Kratochvílová

  • Author_Institution
    Academy of Sciences of the Czech Republic, Institute of Information Theory and Automation, Prague, Czech Republic
  • fYear
    2011
  • fDate
    5/1/2011 12:00:00 AM
  • Firstpage
    1233
  • Lastpage
    1236
  • Abstract
    In this paper we describe a method for detection and measurement of elliptical particles in atomic force microscopy (AFM) images. AFM imaging is used in physics to scan surfaces; the measured heights are represented by pixel values. Each sample in our project consisted of elliptical particles of principally the same size; the size could be characterized by the average length and width of a number of salient particles. The method we proposed is based on segmentation of undamaged particles and their approximation by ellipses; the major and minor axes provide robust estimates of the lengths and widths of the particles, respectively. The method is robust to distortions typical of AFM images. Its performance was demonstrated on images of pyrroles and compared with manual detection. Results show that the automatic method could be used in place of the time-consuming manual detection.
  • Keywords
    "Approximation methods","Particle measurements","Atmospheric measurements","Manuals","Noise","Image segmentation","Shape"
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    2379-190X
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5946633
  • Filename
    5946633