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

Motion edges and regions guide image segmentation by colour

P Møller1, A C Hurlbert

  • 1Department of Physiological Sciences, Medical School, University of Newcastle upon Tyne, UK. per.moeller@ncl.ac.uk

Proceedings. Biological Sciences
|December 24, 1997
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

Neuromagnetic correlates of visual motion coherence.

The European journal of neuroscience·2005
Same author

Low incidence of SV40-like sequences in ependymal tumours.

The Journal of pathology·2001
Same author

Genetic epidemiology of BRCA1 mutations in Norway.

European journal of cancer (Oxford, England : 1990)·2001
Same author

Molecular aspects of B-cell lymphomas of the gastrointestinal tract.

Clinical lymphoma·2001
Same author

Serum tenascin-C is an indicator of inflammatory bowel disease activity.

International journal of colorectal disease·2001
Same author

Isotype-switched immunoglobulin genes with a high load of somatic hypermutation and lack of ongoing mutational activity are prevalent in mediastinal B-cell lymphoma.

Blood·2001

Human visual segmentation uses both motion edges and regions to group image elements. Motion edges define integration areas, while motion regions establish surfaces for color grouping and segmentation.

Area of Science:

  • Visual perception
  • Computational neuroscience
  • Image processing

Background:

  • Image segmentation is crucial for visual processing, grouping image parts before object recognition.
  • Key segmentation processes include edge-based (feature contrasts) and region-based (similarity grouping).
  • Previous research indicates strong interaction between motion and color in human visual segmentation.

Purpose of the Study:

  • To investigate the interaction between motion and color in image segmentation.
  • To differentiate the roles of edge-based and region-based processes in motion-color interaction.
  • To explore how motion information guides region-based color segmentation.

Main Methods:

  • Performance measurement on a region-based color segmentation task.

Related Experiment Videos

  • Introduction of distinct types of motion information (edges and regions) without revealing target location.
  • Analysis of how motion edges and regions influence color segmentation performance.

    • Main Results:

    • Both motion edges and motion regions effectively guide the color segmentation process.
    • Motion edges delimit areas for color information integration.
    • Motion similarities define primitive surfaces for color grouping and segmentation.

    Conclusions:

    • Motion information, in both edge and region forms, plays a significant role in color image segmentation.
    • Motion edges act as boundaries for integration, while motion regions serve as surfaces for grouping.
    • This study elucidates the distinct contributions of motion cues to different stages of visual segmentation.