• DocumentCode
    2485417
  • Title

    The structure analysis of ultra thin magnetic film images

  • Author

    Nedzved, A. ; Ablameyko, S. ; Belotserkovsky, A. ; Maziewski, A. ; Dobrogowski, W.

  • Author_Institution
    United Inst. of Inf. Problems, Nat. Acad. of Sci. of Belarus, Minsk
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Algorithm of magnetic structure extraction and analysis in ultra thin magnetic film images is proposed. This algorithm allows to gain successful results and calculates a large number of characteristics of structures on magneto-optical images. The algorithm consists of three parts: background correction, structure extraction and calculation of dendrite characteristics. For correction of magnetic image we use methods for magneto-optic contrast. One of the basic features of structure extraction part is a preservation of border properties. Therefore the basic processing of extraction is applied for binary image. Proposed characteristics allow to describe and to classify dendrites. For analysis of complex magnetics structures topological properties are calculated for three basic objects types: body, holes and gulf. The software system ldquoZubrrdquo has been realized for magnetic structure image analysis.
  • Keywords
    dendrites; feature extraction; magnetic structure; magnetic thin films; Zubr; background correction; binary image; dendrite characteristics; magnetic structure extraction; magnetic structure image analysis; magneto-optic contrast; magneto-optical images; software system; structure extraction; ultra thin magnetic film images; Bridges; Brightness; Image analysis; Magnetic analysis; Magnetic domains; Magnetic films; Magnetization reversal; Pixel; Saturation magnetization; Tail;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-2174-9
  • Electronic_ISBN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2008.4761622
  • Filename
    4761622