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

Simple horizontal averaging programme enables shade correction for image analysis in psoriasis.

M Tanaka1, S Gaskell, C Edwards

  • 1Departments of Dermatology, Keio University School of Medicine, Shinano-machi 35, Shinjuku, Tokyo 160-8582, Japan. kdtanaka@med.keio.ac.jp

Clinical and Experimental Dermatology
|September 6, 2000
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

Stakeholder attitudes to a potential national registry for interstitial lung disease.

Irish medical journal·2025
Same author

Retrospective cohort study of pure tone audiometry hearing changes from ototoxic metals and solvents, continuous noise, and impulse noise exposures at Hill Air Force Base from 2005 to 2019.

Journal of occupational and environmental hygiene·2025
Same author

Safety and feasibility of a virtual exercise programme for pulmonary fibrosis.

Irish medical journal·2025
Same author

Work integrated learning in sonography: Barriers, enablers, and comparative perspectives.

Radiography (London, England : 1995)·2025
Same author

Radiographer - Clinician agreement on imaging selection for extremity injuries in the emergency department - A pilot study.

Radiography (London, England : 1995)·2025
Same author

The Surface-Topography Challenge: A Multi-Laboratory Benchmark Study to Advance the Characterization of Topography.

Tribology letters·2025

Computer-assisted skin lesion analysis is improved by a new C++ program. This method accurately measures lesion area, accounting for shadows and glare caused by body curvature, aiding disease severity assessment.

Area of Science:

  • Dermatology
  • Medical Imaging
  • Computer Science

Background:

  • Accurate measurement of skin lesion area is crucial for assessing disease severity.
  • Standard image analysis tools struggle with lesions affected by body curvature, leading to shadows and glare.
  • Peripheral skin sites are particularly prone to these imaging challenges.

Purpose of the Study:

  • To develop a computer-assisted method for accurate skin lesion area measurement.
  • To overcome limitations of standard image analysis tools in handling shadows and glare.
  • To improve the assessment of disease severity through precise lesion quantification.

Main Methods:

  • A C++ program was developed to average neighboring pixels on horizontal lines, creating a background brightness image.

Related Experiment Videos

  • This background image was subtracted from the original lesion image.
  • Lesions were then detected and their area calculated using a standard threshold tool.

    • Main Results:

    • The developed averaging program effectively created a background brightness image.
    • Subtraction of the background image enabled easy detection of lesions using standard thresholding.
    • The method proved sufficiently accurate for calculating the percentage of skin area involved by lesions.

    Conclusions:

    • The devised C++ program offers an accurate and effective method for computer-assisted skin lesion area measurement.
    • This technique successfully addresses challenges posed by body curvature, glare, and shadows.
    • The improved accuracy facilitates reliable assessment of skin disease severity.