Jove
Visualize
Contact Us

Related Experiment Videos

Feature detection in human vision: a phase-dependent energy model.

M C Morrone1, D C Burr

  • 1Department of Psychology, University of Western Australia, Nedlands.

Proceedings of the Royal Society of London. Series B, Biological Sciences
|December 22, 1988
PubMed
Summary
This summary is machine-generated.

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

Primary visual cortex BOLD responses to relative localization of sounds at 7T.

iScience·2026
Same author

Spontaneous perception of numerosity in pre-school children.

Proceedings. Biological sciences·2019
Same author

Perception during double-step saccades.

Scientific reports·2018
Same author

Plasticity of the human visual brain after an early cortical lesion.

Neuropsychologia·2017
Same author

Visual BOLD Response in Late Blind Subjects with Argus II Retinal Prosthesis.

PLoS biology·2016
Same author

Effects of adaptation on numerosity decoding in the human brain.

NeuroImage·2016
Same journal

Studies on the mechanism of action of picrotoxinin and other convulsants at the crustacean muscle GABA receptor.

Proceedings of the Royal Society of London. Series B, Biological sciences·2015
Same journal

The dynamics of burrowing in Ensis (Bibalvia).

Proceedings of the Royal Society of London. Series B, Biological sciences·2014
Same journal

The release of vasopressin without oxytocin in response to haemorrhage.

Proceedings of the Royal Society of London. Series B, Biological sciences·2014
Same journal

Hypothalamic pathways for independent release of vasopressin and oxytocin.

Proceedings of the Royal Society of London. Series B, Biological sciences·2014
Same journal

Variation in the long-tailed field-mouse (Apodemus sylvaticus (L>)) in the Channel Islands.

Proceedings of the Royal Society of London. Series B, Biological sciences·2014
Same journal

The effect of undernutrition on the postnatal development of the brain and cord in pigs.

Proceedings of the Royal Society of London. Series B, Biological sciences·2014
See all related articles
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

This study proposes a model where phase alignment of Fourier components detects image features like lines and edges. Maximal local energy at these points signifies feature perception in mammalian visual systems.

Area of Science:

  • Computational neuroscience
  • Image processing
  • Visual perception

Background:

  • Mammalian visual systems process complex images.
  • Feature detection, such as lines and edges, is crucial for visual recognition.
  • Existing models may lack biological plausibility or simplicity.

Purpose of the Study:

  • To present a simple, biologically plausible model for detecting image features.
  • To explain the perceptual significance of lines and edges based on signal processing.
  • To link feature detection to the concept of local energy maximization.

Main Methods:

  • Modeling mammalian visual feature detection using Fourier analysis.
  • Defining and calculating 'local energy' from matched filter responses.

Related Experiment Videos

  • Utilizing even- and odd-symmetric filters with phase differences.
  • Testing the model with various image stimuli.

    • Main Results:

    • Image features like lines and edges correspond to points of phase alignment in Fourier components.
    • Local energy is maximal at these feature points.
    • Even-symmetric filters detect lines, odd-symmetric filters detect edges.
    • The model accurately predicts perceived feature locations and image organization.

    Conclusions:

    • The model provides a biologically plausible mechanism for line and edge detection.
    • Phase alignment and local energy are key concepts in visual feature perception.
    • The model successfully accounts for the visual system's ability to organize and interpret images.