• DocumentCode
    301172
  • Title

    A ratio edge detector for speckled images based on maximum strength edge pruning

  • Author

    Ganugapati, S.S. ; Moloney, C.R.

  • Author_Institution
    Fac. of Eng. & Appl. Sci., Memorial Univ. of Newfoundland, St. John´´s, Nfld., Canada
  • Volume
    2
  • fYear
    1995
  • fDate
    23-26 Oct 1995
  • Firstpage
    165
  • Abstract
    This paper presents an edge detection method which is well-suited to determining accurate and localized edge maps for speckled images. The maximum strength edge pruning ratio of averages (MSP-RoA) method is a ratio-based edge detector which makes effective use of edge orientation information in pruning candidate edge pixels. The method is compared to other speckle-specific edge detection methods. Test results of the MSP-RoA method for simulated speckled images and for airborne synthetic aperture radar (SAR) images are presented
  • Keywords
    airborne radar; edge detection; radar imaging; speckle; synthetic aperture radar; MSP-RoA method; SAR images; airborne synthetic aperture radar images; edge detection method; edge orientation information; localized edge maps; maximum strength edge pruning; maximum strength edge pruning ratio of averages; ratio edge detector; speckled images; Detectors; Image edge detection; Image registration; Image segmentation; Pixel; Radar detection; Signal processing; Speckle; Synthetic aperture radar; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1995. Proceedings., International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-8186-7310-9
  • Type

    conf

  • DOI
    10.1109/ICIP.1995.537440
  • Filename
    537440