Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Optimized model of oriented-line-target detection using vertical and horizontal filters

S Westland1, D H Foster

  • 1Department of Communication and Neuroscience, Keele University, Staffordshire, UK.

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
|August 1, 1995
PubMed
Summary

Visual search performance is best when target orientation differs from a uniform background. A computational model explains how the visual system processes orientation differences, aiding in target detection.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The impact of tooth colour on the perceptions of age and social judgements.

Journal of dentistry·2021
Same author

Interaction between rod and cone systems in dichoptic visual masking.

Neuroscience letters·2009
Same author

Color adjustment potential of resin composites.

Journal of dental research·2008
Same author

Macular pigment and color discrimination.

Visual neuroscience·2006
Same author

Spectrophotometric analysis of all-ceramic materials and their interaction with luting agents and different backgrounds.

Advances in dental research·2004
Same author

Detecting changes of spatial cone-excitation ratios in dichoptic viewing.

Vision research·2001

Area of Science:

  • Visual perception
  • Computational neuroscience
  • Psychophysics

Background:

  • Visual search performance is influenced by the orientation of elements in a scene.
  • Detecting a target with a distinct orientation from the background is generally easier.
  • Optimal conditions for detection occur when background elements are uniformly vertical or horizontal.

Purpose of the Study:

  • To develop a quantitative model of visual detection performance based on orientation differences.
  • To understand the computational stages involved in processing orientation information.
  • To accurately describe psychophysical data on orientation increment thresholds.

Main Methods:

  • Constructed a three-stage computational model: anisotropic filtering, nonlinear transformation, and signal-to-noise ratio estimation.

Related Experiment Videos

  • Utilized a Monte Carlo optimization procedure (simulated annealing) to fit model parameters.
  • Compared model predictions with psychophysical data on orientation detection.

    • Main Results:

    • The model successfully described human performance in detecting targets based on orientation differences.
    • Identified key processing stages contributing to orientation-based visual search.
    • Parameter fitting revealed specific characteristics of the visual system's filtering and decision-making processes.

    Conclusions:

    • A computational model can effectively simulate visual search performance related to orientation.
    • The visual system employs filtering and signal-to-noise estimation for orientation discrimination.
    • This work provides insights into the mechanisms underlying efficient visual detection.