• DocumentCode
    2243392
  • Title

    Fast Binary Dilation/Erosion Algorithm Using Reference Points

  • Author

    Cheng, Xinyu

  • Author_Institution
    Coll. of Comput. Sci. & Inf. Technol., Guizhou Univ., Guiyang
  • Volume
    2
  • fYear
    2009
  • fDate
    30-31 May 2009
  • Firstpage
    87
  • Lastpage
    90
  • Abstract
    A new method of fast binary image dilation/erosion operation called RPI is proposed in this paper. Without the regularity of structure elements or pixel processing sequence, dilation/erosion operation can be carried out by looking up a precomputed increments table with this algorithm. The definition of reference points set and coding method for fast looking up the combination status, including its algorithm framework, are given. Compared with KSD algorithm, the average performance of RPI algorithm is a little h. However, RPI algorithm becomes more effective in the worst case and is more suitable for real-time image processing.
  • Keywords
    edge detection; image coding; mathematical morphology; KSD algorithm; RPI algorithm; binary image contour dilation/erosion algorithm; edge detection; image coding method; mathematical morphology; pixel processing sequence; precomputed increments table; real-time image processing; reference point set; structure element regularity; Computer networks; Economic indicators; Educational institutions; Filtering; Image coding; Image edge detection; Image processing; Information technology; Morphology; Pixel; Image processing; erosion/dilation; fast algorithm; mathematical morphology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking and Digital Society, 2009. ICNDS '09. International Conference on
  • Conference_Location
    Guiyang, Guizhou
  • Print_ISBN
    978-0-7695-3635-4
  • Type

    conf

  • DOI
    10.1109/ICNDS.2009.102
  • Filename
    5116691