• DocumentCode
    1569103
  • Title

    Efficient 2-D Gray-Scale Dilations and Erosions with Arbitrary Flat Structuring Elements

  • Author

    Urbach, E.R. ; Wilkinson, M.H.F.

  • Author_Institution
    Inst. of Math. & Comput. Sci., Groningen Univ., Netherlands
  • fYear
    2006
  • Firstpage
    1573
  • Lastpage
    1576
  • Abstract
    An efficient algorithm is presented for the computation of gray-scale morphological operations with 2-D structuring elements (S.E.). The required computing time is independent of the image content and of the number of gray levels used. For circular S.E.s, it always outperforms the only existing comparable method, which was proposed by Van Droogenbroeck and Talbot (1996), by a factor between 1.8 and 8.6, depending on the image type. So far, filtering using multiple S.E.s is always done by performing the operator for each size and shape of the S.E. separately. With our method filtering with multiple S.E.s can be performed by a single operator for a reduced computational cost per size or shape, which makes this method more suitable for use in granulometries, dilation-erosion scale spaces, and template matching using the hit-or-miss transform.
  • Keywords
    filtering theory; image colour analysis; image matching; mathematical morphology; transforms; 2-D structuring element; dilation-erosion scale space; filtering; granulometries; gray-scale morphological operation; hit-miss transform; template matching; Computational efficiency; Filtering; Gray-scale; Histograms; Matched filters; Mathematics; Morphological operations; Morphology; Pixel; Shape; Morphological operators; dilations; erosion-dilation scale spaces; erosions; image filtering; mathematical morphology; structuring elements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2006 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1522-4880
  • Print_ISBN
    1-4244-0480-0
  • Type

    conf

  • DOI
    10.1109/ICIP.2006.312608
  • Filename
    4106844