• DocumentCode
    2507044
  • Title

    The Gaussian Maxima Filter (GMF): A new approach for scale-space smoothing of an image

  • Author

    Bhattacharya, J. ; Majumder, S. ; Sanyal, G.

  • Author_Institution
    Central Mech. Eng. Res. Inst., Durgapur, India
  • fYear
    2010
  • fDate
    17-19 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The detection of fine feature from an image is often challenging. Generally, the smoothing filters used for the purpose are inadequate for such applications with the exception of bilateral and mean shift filter. A new smoothing filter termed Gaussian Maxima Filter(GMF), developed and presented here shows better performance in preserving fine features even for relatively large window size. This paper also presents necessary analysis along with experimental results obtained from GMF.
  • Keywords
    computer vision; feature extraction; filtering theory; image segmentation; smoothing methods; GMF; Gaussian maxima filter; bilateral shift filter; feature detection; image segmentation; mean shift filter; scale-space smoothing; smoothing filters; Approximation methods; Cameras; Conferences; Image edge detection; Noise; Optical filters; Smoothing methods; Computer vision; image preprocessing; image segmen-tation; scale space filtering; smoothing filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    India Conference (INDICON), 2010 Annual IEEE
  • Conference_Location
    Kolkata
  • Print_ISBN
    978-1-4244-9072-1
  • Type

    conf

  • DOI
    10.1109/INDCON.2010.5712649
  • Filename
    5712649