• DocumentCode
    409923
  • Title

    Disjoint set data structure for morphological area operators

  • Author

    Gao, Hai ; Xue, Ping ; Lin, Weisi ; Hou, Chaohuan

  • Author_Institution
    Sch. of EEE, Nanyang Technol. Univ., Singapore
  • Volume
    2
  • fYear
    2003
  • fDate
    15-18 Dec. 2003
  • Firstpage
    773
  • Abstract
    Morphological openings and closings are basic operators in mathematical morphology. Morphological area openings and area closings have the same functions as standard morphological openings and closings but avoid distorting object boundaries. The conventional implementation of morphological area operators is based on the heap data structure. A new methodology for implementing morphological area operators, which relies on the disjoint set data structure, is proposed in this paper. The computational complexity of our method is O(N) where N is the image size, and not related to the area parameter. Experiments show that the new implementation of grayscale area operators runs faster than the conventional implementations. The computational complexity of binary area operators is also studied in this paper.
  • Keywords
    data structures; image processing; mathematical morphology; mathematical operators; binary area operator; disjoint set data structure; heap data structure; mathematical morphology; Acoustic distortion; Chaos; Computational complexity; Data structures; Filtering; Filters; Gray-scale; Morphology; Pixel; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Communications and Signal Processing, 2003 and Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint Conference of the Fourth International Conference on
  • Print_ISBN
    0-7803-8185-8
  • Type

    conf

  • DOI
    10.1109/ICICS.2003.1292561
  • Filename
    1292561