Bridging instrumental and visual perception with improved color difference equations: A multi-center study.

Autor: Hein S; School of Design, University of Leeds, Leeds, UK. Electronic address: sdsch@leeds.ac.uk., Saleh O; Prosthodontic Division, Department for Restorative Science and Biomaterials, Boston University Henry M. Goldman School of Dental Medicine, Boston, USA; Medical Center, University of Freiburg, Center for Dental Medicine, Department of Prosthetic Dentistry, Faculty of Medicine, University of Freiburg, Freiburg, Germany., Li C; School of Computer and Software Engineering, University of Science and Technology Liaoning, Anshan, China., Nold J; Medical Center, University of Freiburg, Center for Dental Medicine, Department of Prosthetic Dentistry, Faculty of Medicine, University of Freiburg, Freiburg, Germany., Westland S; School of Design, University of Leeds, Leeds, UK.
Jazyk: angličtina
Zdroj: Dental materials : official publication of the Academy of Dental Materials [Dent Mater] 2024 Oct; Vol. 40 (10), pp. 1497-1506. Date of Electronic Publication: 2024 Aug 01.
DOI: 10.1016/j.dental.2024.07.003
Abstrakt: Objectives: This multicenter study aimed to evaluate visual-instrumental agreement of six color measurement devices and optimize three color difference equations using a dataset of visual color differences (∆V) from expert observers.
Methods: A total of 154 expert observers from 16 sites across 5 countries participated, providing visual scaling on 26 sample pairs of artificial teeth using magnitude estimation. Three color difference equations (ΔE* ab , ∆E 00 , and CAM16-UCS) were tested. Optimization of all three equations was performed using device-specific weights, and the standardized residual sum of squares (STRESS) index was used to evaluate visual-instrumental agreement.
Results: The ΔE* ab formula exhibited STRESS values from 18 to 40, with visual-instrumental agreement between 60 % and 82 %. The ∆E 00 formula showed STRESS values from 26 to 32, representing visual-instrumental agreement of 68 % to 74 %. CAM16-UCS demonstrated STRESS values from 32 - 39, with visual-instrumental agreement between 61-68 %. Following optimization, STRESS values decreased for all three formulas, with ΔE ' demonstrating average visual-instrumental agreement of 79 % and ∆E 00 of 78 %. CAM16-UCS showed average visual-instrumental agreement of 76 % post optimization.
Significance: Optimization of color difference equations notably improved visual-instrumental agreement, overshadowing device performance. The optimzed ΔE ' formula demonstrated the best overall performance combining computational simplicty with outstanding visual-instrumental agreement.
(Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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