• DocumentCode
    607593
  • Title

    Canny and gauss enhancement on speckle reducing anisotropic diffusion

  • Author

    Uslu, Erkan ; Albayrak, Sahin

  • Author_Institution
    Bilgisayar Muhendisligi Bolumu, Yildiz Teknik Univ., İstanbul, Turkey
  • fYear
    2013
  • fDate
    24-26 April 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this work speckle reduction methods defined in the literature are basically compared according to effect on classification, edge preservation and noise reduction in homogenous regions. The methods are tested on labeled SAR image, simulated SAR image and optical image. It is aimed to present mutual effect of speckle reduction methods on both edge preservation and noise reduction. One of the purposes of this work is to improve SRAD method, which is especially defined for speckle noise reduction, by combining it with Canny edge detection and Gauss filtering. It is proved by the experimental results that proposed method enhances the quality measure results.
  • Keywords
    edge detection; filtering theory; image enhancement; interference suppression; optical images; radar imaging; speckle; synthetic aperture radar; Canny edge detection; Gauss filtering; SRAD method; edge preservation; homogenous region classification; image enhancement; labeled SAR image; noise reduction; optical image; quality measure; speckle reducing anisotropic diffusion; speckle reduction method; Anisotropic magnetoresistance; Discrete wavelet transforms; Image edge detection; Noise reduction; Signal to noise ratio; Speckle; Synthetic aperture radar; Canny edge detection enhanced SRAD; Gauss filter enhanced SRAD; Speckle Reducing Anisotropic Diffusion (SRAD); Speckle noise reduction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2013 21st
  • Conference_Location
    Haspolat
  • Print_ISBN
    978-1-4673-5562-9
  • Electronic_ISBN
    978-1-4673-5561-2
  • Type

    conf

  • DOI
    10.1109/SIU.2013.6531166
  • Filename
    6531166