• DocumentCode
    864951
  • Title

    Morphological operators

  • Author

    Sedaaghi, M.H.

  • Author_Institution
    Fac. of Electr. Eng., Sahand Univ. of Technol., Tabriz, Iran
  • Volume
    38
  • Issue
    22
  • fYear
    2002
  • fDate
    10/24/2002 12:00:00 AM
  • Firstpage
    1333
  • Lastpage
    1335
  • Abstract
    The author and colleagues have already proved that mediated morphological filters (MEDMFs) remove speckle, Gaussian or salt and pepper noise better than classical morphological filters (MFs) and linear methods. They have also demonstrated the dominance of MEDMFs in a multiple noisy environment compared with MFs and linear filters. Here, they describe novel new research that has led to new morphological operators being successfully devised, the performance of which is better than MEDMFs for both single and multiple denoising. The new operators employ a special combination of weighted median filters and MFs.
  • Keywords
    Gaussian noise; filtering theory; image restoration; mathematical morphology; median filters; speckle; Gaussian noise; image denoising; morphological filters; morphological operators; salt and pepper noise; speckle noise removal; weighted median filters;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20020943
  • Filename
    1047080