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Human-eye versus computerized color matching.

A U Yap1, C P Sim, W L Loh

  • 1National University of Singapore, Faculty of Dentistry, Department of Restorative Dentistry, Singapore.

Operative Dentistry
|May 24, 2000
PubMed
Summary
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Human visual assessment and computerized colorimetry show shade-dependent differences in dental color matching. Discrepancies are noticeable in clinical settings, indicating a need for software correction factors for accurate shade selection.

Area of Science:

  • Dental Materials Science
  • Color Science
  • Visual Perception

Background:

  • Accurate dental shade matching is crucial for aesthetic restorations.
  • Traditional human-eye assessment is subjective and can lead to discrepancies.
  • Computerized colorimetry offers objective measurements but requires validation against human perception.

Purpose of the Study:

  • To compare color matching accuracy between human visual assessment and computerized colorimetry.
  • To identify specific shades where discrepancies are most significant.
  • To evaluate the clinical relevance of observed color differences.

Main Methods:

  • Fifty dental professionals performed shade matching of Vita Lumin tabs to Z100 shade guide tabs.
  • Evaluators were blinded to test tab shades and matched body shade to the middle third.

Related Experiment Videos

  • Results were converted to L*a*b* values and compared with computerized colorimetry data.

    • Main Results:

    • Color matching differences between human eye and computer were found to be shade-dependent.
    • Significant discrepancies were noted in b* coordinates for shades A1 and B2, and L* and b* for shade C4.
    • All evaluated shades showed perceivable color differences (delta E > 3) in clinical settings.

    Conclusions:

    • A notable discrepancy exists between human visual and computerized colorimetric shade matching in dentistry.
    • The shade-dependent nature of these differences necessitates further investigation.
    • Correction factors are recommended for color-matching software to improve accuracy in clinical applications.