• DocumentCode
    3053813
  • Title

    Further developments on RHT: basic mechanisms, algorithms, and computational complexities

  • Author

    Xu, Lei ; Oja, Erkki

  • Author_Institution
    Robotics Lab., Harvard Univ., Cambridge, MA, USA
  • fYear
    1992
  • fDate
    30 Aug-3 Sep 1992
  • Firstpage
    125
  • Lastpage
    128
  • Abstract
    Further developments on RHT are introduced here. The fundamental framework and the main components of this method are systematically elaborated. Its advantages are further confirmed. The deep mechanisms behind these advantages are exposed. Several improved algorithms for implementing RHT are proposed and tested by experiments on images with various kinds of strong noise. The results show that the advantages of RHT are quite robust. Moreover, the theoretical results are also given to show quantitatively that the complexities of RHT algorithms are considerably smaller than those of the HT
  • Keywords
    computational complexity; picture processing; random noise; transforms; RHT; algorithms; computational complexities; images; randomized Hough transform; strong noise; Computer vision; Image converters; Image recognition; Image sampling; Mathematics; Noise robustness; Pixel; Quantization; Robots; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on
  • Conference_Location
    The Hague
  • Print_ISBN
    0-8186-2910-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1992.201523
  • Filename
    201523