• DocumentCode
    2677753
  • Title

    Demonstrating edge data across multiple resolution levels

  • Author

    Weeks, Michael ; Brannock, Evelyn

  • Author_Institution
    Comput. Sci. Dept., Georgia State Univ., Atlanta, GA, USA
  • fYear
    2009
  • fDate
    5-8 March 2009
  • Firstpage
    34
  • Lastpage
    37
  • Abstract
    This work discusses edge detection based on the discrete wavelet transform, especially for biological images. In particular, we examine multiple octaves of an image, decomposed then reconstructed using the discrete wavelet transform. We show that this technique picks out edges from the background well.
  • Keywords
    biology computing; discrete wavelet transforms; edge detection; image reconstruction; image resolution; biological images; discrete wavelet transform; edge detection; image decomposition; image reconstruction; multiple octaves; multiple resolution level; Computer science; Detectors; Discrete wavelet transforms; Filtering; Fluctuations; Image edge detection; Image resolution; Laplace equations; Low pass filters; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Southeastcon, 2009. SOUTHEASTCON '09. IEEE
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4244-3976-8
  • Electronic_ISBN
    978-1-4244-3978-2
  • Type

    conf

  • DOI
    10.1109/SECON.2009.5174045
  • Filename
    5174045
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2677753