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

Creating partially deleted objects for perception research.

Christopher Koch1, Brent Strandy, Brent Wilson

  • 1Department of Psychology, George Fox University, Newburg, Oregon 97132, USA. ckoch@georgefox.edu

Behavior Research Methods
|September 8, 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

Exploring the Role of Early Career Medical Professionals From a Digital-Oriented University in Germany in Promoting Digital Health in Professional Settings: Qualitative Interview Study.

JMIR medical education·2026
Same author

Analysis of 173,303 exomes and genomes in the Pakistan Genome Resource.

Nature·2026
Same author

Caspase 1-deficient humans survive into late adulthood despite dramatically lower canonical inflammasome activity.

The Journal of allergy and clinical immunology·2025
Same author

Complete loss of SLC30A8 in humans improves glucose metabolism and beta cell function.

Diabetologia·2025
Same author

Measuring the semantic priming effect across many languages.

Nature human behaviour·2025
Same author

1-Year Results From a Multicenter Trial of a Polymer Surgical Mitral Valve: Insights Into New Technology.

Journal of the American College of Cardiology·2025
Same journal

Planned missingness in intensive longitudinal studies: Extensions and comparisons of multiform designs.

Behavior research methods·2026
Same journal

A validity-guided workflow for robust large language model research in psychology.

Behavior research methods·2026
Same journal

Are 7-point Likert scales preferable to 5-point scales in language research?

Behavior research methods·2026
Same journal

Generative psychometrics via AI-GENIE: Automatic item generation and validation with network-integrated evaluation.

Behavior research methods·2026
Same journal

Exploring psychological tradeoffs: Developing and demonstrating an R Shiny app for Pareto optimization.

Behavior research methods·2026
Same journal

The performance of Bayesian fit measures in detecting misspecified multilevel structural equation modeling.

Behavior research methods·2026
See all related articles

Researchers developed the Image Fragmenting Program to control contour deletion in line drawings for perception studies. This tool aids in understanding object recognition by systematically fragmenting images.

Area of Science:

  • Cognitive Science
  • Computer Vision
  • Psychology

Background:

  • Line drawings are crucial tools in perception research for identifying key object features.
  • Fragmenting objects by deleting contour portions is a common research strategy.
  • Controlling the amount and type of deleted information is vital for accurate experimental design.

Purpose of the Study:

  • To introduce a novel tool, the Image Fragmenting Program, for creating fragmented objects.
  • To enable researchers to precisely control contour deletion in line drawings.
  • To facilitate systematic investigation into object recognition mechanisms.

Main Methods:

  • Development of the Image Fragmenting Program software.
  • Implementation of both random and manual contour deletion strategies.

Related Experiment Videos

  • Quantitative control over the amount of contour removed from images.
  • Main Results:

    • The program allows for the creation of fragmented objects with controlled contour removal.
    • Researchers can systematically vary image fragmentation to study perception.
    • The tool supports precise manipulation of visual stimuli for experimental purposes.

    Conclusions:

    • The Image Fragmenting Program offers a valuable method for perception research.
    • Precise control over image fragmentation enhances the study of object recognition.
    • This tool aids in determining the essential features for object identification.