• DocumentCode
    1144420
  • Title

    Comments about the coincident bit counting (CBC) criterion for image registration

  • Author

    Venot, A. ; Pronzato, Luc ; Walter, E.

  • Author_Institution
    Dept. de Biostatistiques et Inf. Medicale, IRT-ECLIMED, Paris, France
  • Volume
    13
  • Issue
    3
  • fYear
    1994
  • Firstpage
    565
  • Lastpage
    566
  • Abstract
    In a paper recently published (ibid., vol.12, p. 30-8, 1993), Chiang and Sullivan compare a new criterion for image registration called CBC (coincident bit counting) with two criteria that the authors proposed some years ago, namely SSC and DSC (stochastic and deterministic sign change criteria). The authors´ nonparametric approach was demonstrated to outperform the conventional image registration criteria for robust registration in the fact that the value of their similarity measure did not take the specific pixel values into account. In light of this observation, Chiang and Sullivan have built the CBC criterion. The CBC method compares the number of coincident bits between the corresponding pixels in two different frames for a fixed amount of displacement. While the authors consider that the CBC is of interest and deserves to be studied, they feel that the comparison made by Chiang and Sullivan was not entirely accurate. Here the authors comment on this comparison and suggest possible further studies.<>
  • Keywords
    medical image processing; coincident bit counting criterion; corresponding pixels; deterministic sign change criteria; image frames; medical diagnostic imaging; medical image registration; nonparametric approach; stochastic sign change criteria; Density functional theory; Equations; Image registration; Pixel; Probability density function; Random variables; Robustness; Stochastic processes; Stress; Sufficient conditions;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/42.310889
  • Filename
    310889