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

Higher level chromatic mechanisms for image segmentation.

Thorsten Hansen1, Karl R Gegenfurtner

  • 1Department of Psychology, Justus-Liebig-University, Giessen, Germany. thorsten.hansen@psychol.uni-giessen.de

Journal of Vision
|April 29, 2006
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

Human-aligned evaluation of a pixel-wise DNN color constancy model.

Frontiers in human neuroscience·2026
Same author

Human gloss perception reproduced by tiny neural networks.

Nature human behaviour·2026
Same author

Swiping colors in virtual reality: How stable are color category borders?

Journal of vision·2026
Same author

Keeping your eye, head, and hand on the ball: Rapidly orchestrated visuomotor behavior in a continuous action task.

Journal of vision·2025
Same author

Chromatic and achromatic contrast sensitivity in the far periphery.

Journal of vision·2025
Same author

Within-subject confidence intervals for pairwise differences in scatter plots.

Psychonomic bulletin & review·2025
Same journal

Analysis of human visual experience data.

Journal of vision·2026
Same journal

Pyramid-based Bayesian modeling for high-resolution behavioral analysis.

Journal of vision·2026
Same journal

Sensation without perception: The white whale effect and perceptual blindness in autonomous vehicles.

Journal of vision·2026
Same journal

Gaze behavior during closed-captioned movie viewing adapts to absent audio through more frequent switching between text and scene.

Journal of vision·2026
Same journal

In pursuit of saccade awareness: Limited volitional control and minimal conscious access to catch-up saccades during smooth pursuit eye movements.

Journal of vision·2026
Same journal

Dissociable effects of element-lifetime and stimulus-duration on local and global motion processing: An equivalent noise study.

Journal of vision·2026
See all related articles

This study reveals that multiple, broadly tuned chromatic mechanisms are crucial for image segmentation. Our findings indicate these mechanisms play a significant role in how we perceive and separate visual information.

Area of Science:

  • Visual perception
  • Color vision
  • Computational neuroscience

Background:

  • Image segmentation relies on visual system's ability to distinguish objects from background.
  • Chromatic mechanisms, responsible for color processing, are hypothesized to contribute to segmentation.
  • Understanding these mechanisms is key to explaining visual perception.

Purpose of the Study:

  • To investigate the number and properties of chromatic mechanisms involved in image segmentation.
  • To determine how noise characteristics influence the detection of chromatic signals.
  • To model the chromatic mechanisms underlying visual segmentation.

Main Methods:

  • Employed a noise-masking paradigm with dynamic random squares modulated in DKL color space.
  • Varied signal and noise color directions and signal contrast to measure orientation detection thresholds.

Related Experiment Videos

  • Utilized a chromatic detection model to interpret experimental findings on tuning curves.

    • Main Results:

    • Masking effects were strongest when signal and noise shared modulation directions, and weakest when orthogonal.
    • Tuning widths were critically dependent on noise type: single-direction noise yielded narrow tuning, while two-sided noise produced broad tuning.
    • A model with multiple broadly tuned mechanisms accurately predicted observed tuning curves.

    Conclusions:

    • The visual system likely utilizes multiple, broadly tuned chromatic mechanisms for effective image segmentation.
    • Neither four broadly tuned cardinal mechanisms nor multiple narrowly tuned mechanisms could explain the data.
    • These broadly tuned mechanisms are essential for processing color information during visual segmentation.