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

Histogram-matching and histogram-flattening contrast correction methods: a comparison

C F Hildebolt1, R K Walkup, G L Conover

  • 1Washington University, St. Louis, Missouri, USA.

Dento Maxillo Facial Radiology
|January 1, 1996
PubMed
Summary

Two histogram matching algorithms (Castleman’s and Rüttimann’s) effectively corrected digital dental image contrast. Histogram flattening methods proved less effective for contrast correction.

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

Trends in Academic Dentistry and Oral Health Research Funding by Gender.

JDR clinical and translational research·2019
Same author

Differential diagnosis of an unusual shoulder articular lesion in an ancient domestic dog (Canis lupus familiaris L., 1758).

International journal of paleopathology·2018
Same author

Pregnancy history, coronary artery calcification and bone mineral density in menopausal women.

Climacteric : the journal of the International Menopause Society·2017
Same author

CT for pediatric, acute, minor head trauma: clinician conformity to published guidelines.

AJNR. American journal of neuroradiology·2012
Same author

A study on the section sensitivity profile in multi-row-detector spiral CT.

Journal of X-ray science and technology·2012
Same author

Rating the extent of surface scratches on photostimulable storage phosphor plates in a dental school environment.

Dento maxillo facial radiology·2010

Area of Science:

  • Digital imaging
  • Radiology
  • Image processing

Background:

  • Contrast variations in digital dental images can hinder accurate diagnosis.
  • Automated image correction techniques are crucial for consistent diagnostic quality.

Purpose of the Study:

  • To evaluate and compare the effectiveness of two histogram matching algorithms and two histogram flattening algorithms in correcting contrast variations in digital dental radiographs.

Main Methods:

  • Radiographs were digitized using a stepwedge exposed at varying times.
  • Contrast correction was performed using Castleman's (CM, CF) and Rüttimann's (RM, RF) algorithms.
  • Mean pixel grey-scale values were analyzed to determine absolute differences from a target image.

Main Results:

Related Experiment Videos

  • Both Castleman's matching (CM) and Rüttimann's matching (RM) algorithms showed comparable, effective contrast correction (median absolute differences of 4.3 and 4.1, respectively).
  • Histogram flattening methods (CF and RF) were significantly less effective, yielding high median absolute differences (70.2 for both).

Conclusions:

  • Castleman's and Rüttimann's histogram matching algorithms are equally effective for correcting contrast variations in digital dental images.
  • Histogram flattening is not a suitable method for contrast correction in this context.