• DocumentCode
    1287404
  • Title

    A pseudomatched filter model applied to the transient system of human vision

  • Author

    Den Brinker, Albertus C. ; Piceni, Hans A L ; Vervuurt, Frans E W

  • Author_Institution
    Dept. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands
  • Volume
    38
  • Issue
    5
  • fYear
    1991
  • fDate
    5/1/1991 12:00:00 AM
  • Firstpage
    502
  • Lastpage
    510
  • Abstract
    A pseudomatched filter configuration is presented as a model for the transient system of human visual perception. This model resembles the models proposed by W. Reichardt (1971) and C. Rashbass (1970), but the pseudomatched filter model is linear. The choice of the model is based on the shape of the psychophysically measured impulse response and on physiological and functional arguments. The parameters of the model are estimated for different data sets. The model was fitted to experimentally determined impulse responses of the transient channel of the visual system. In most cases the model´s parameters were found, so a reasonable fit was obtained. It was found that under the same conditions (background level and field diameter) the estimated model was essentially the same for different subjects. Comparison of the results from the fits at different background levels showed that from the three parameters in the model only the angular frequency changed by more than the estimated standard deviation. It is shown that the model is in agreement with other psychophysical data. This is shown by predicting the threshold-versus-duration curve and the sensitivity to sinusoidal stimuli. The model´s threshold-versus-duration curves agree well with the experimental data.
  • Keywords
    physiological models; visual perception; (background level; field diameter; human vision; pseudomatched filter model; psychophysically measured impulse response; sinusoidal stimuli; threshold-versus-duration curve; transient system; Biological system modeling; Humans; Machine vision; Matched filters; Nonlinear filters; Parameter estimation; Predictive models; Psychology; Shape measurement; Visual system; Confidence Intervals; Humans; Linear Models; Models, Biological; Reference Values; Vision;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.81570
  • Filename
    81570