Javascript must be enabled to continue!
MinMax Optimization Algorithm for Reproducing All Tooth Shades Utilizing Vita Classical Colors
View through CrossRef
Introduction: Color mixing is used in dental practice to produce a wide variety of colors. Mathematical methods can be used to reproduce colors. Methods: We employed a mathematical algorithm to identify the basic essential three Vita Classical colors (VCC) that can be used to produce, through controlled mixing, all other colors of the VCC array in dental practice with the least possible errors. These were found to be: B1, B3, and C4. Another algorithm was constructed to find out mixing ratios of B1, B3, and C4 that would produce the remaining colors of VCC array with least errors. However, there were differences in colors and these were calculated as ΔE. Results: B1, B3, and C4 produced all other colors through direct mixing with the least average error (AE). Errors were found to range from 0.3985% to 1.5675% (average = 0.7473788%). The highest color errors were noticed during the production of A3.5 (1.5675%) and C3 (1.42%). Conclusion: B1, B3, and C4 are the colors most likely to produce all other colors through direct mixing having the least AE.
Ovid Technologies (Wolters Kluwer Health)
Title: MinMax Optimization Algorithm for Reproducing All Tooth Shades Utilizing Vita Classical Colors
Description:
Introduction: Color mixing is used in dental practice to produce a wide variety of colors.
Mathematical methods can be used to reproduce colors.
Methods: We employed a mathematical algorithm to identify the basic essential three Vita Classical colors (VCC) that can be used to produce, through controlled mixing, all other colors of the VCC array in dental practice with the least possible errors.
These were found to be: B1, B3, and C4.
Another algorithm was constructed to find out mixing ratios of B1, B3, and C4 that would produce the remaining colors of VCC array with least errors.
However, there were differences in colors and these were calculated as ΔE.
Results: B1, B3, and C4 produced all other colors through direct mixing with the least average error (AE).
Errors were found to range from 0.
3985% to 1.
5675% (average = 0.
7473788%).
The highest color errors were noticed during the production of A3.
5 (1.
5675%) and C3 (1.
42%).
Conclusion: B1, B3, and C4 are the colors most likely to produce all other colors through direct mixing having the least AE.
Related Results
Variação de cor de blocos de cerâmicas para CAD/CAM em relação às escalas Vita Classical e Vita 3D Master: análise colorimétrica com espectrofotômetro
Variação de cor de blocos de cerâmicas para CAD/CAM em relação às escalas Vita Classical e Vita 3D Master: análise colorimétrica com espectrofotômetro
As cerâmicas CAD/CAM têm o objetivo de restabelecer a estrutura dental perdida com maior agilidade. No entanto a diferença cromática entre os diferentes tipos de materiais pode aca...
TRATAMENTO CIRÚRGICO DE CANINO INCLUSO EM REGIÃO MENTUAL: RELATO DE CASO
TRATAMENTO CIRÚRGICO DE CANINO INCLUSO EM REGIÃO MENTUAL: RELATO DE CASO
RESUMOO dente denominado incluso nada mais é que um dente retido ou impactado dentro do alvéolo dentário de maneira parcial ou completa que não conseguiu erupcionar por motivos pat...
Hubungan Perilaku Menyikat Gigi dengan Kejadian Abrasi Gigi
Hubungan Perilaku Menyikat Gigi dengan Kejadian Abrasi Gigi
Abstract: Tooth abrasion is the loss of tooth structure resulting from clinically abnormal mechanical wear with further risk of fracture in the cervical region of the tooth. Tooth ...
Cool Beats and Timely Accents
Cool Beats and Timely Accents
Ever since I tripped over Tiddles while I was carrying a pile of discs into the studio, I’ve known it was possible to get a laugh out of gramophone records!Max Bygraves In 1978 t...
Input Normalization for WGAN-GP Synthesis of Radiometric Activity Data from Building Materials
Input Normalization for WGAN-GP Synthesis of Radiometric Activity Data from Building Materials
Resumo This study evaluates the extent to which input normalization influences the performance of a Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-GP) train...
Modeling Hybrid Metaheuristic Optimization Algorithm for Convergence Prediction
Modeling Hybrid Metaheuristic Optimization Algorithm for Convergence Prediction
The project aims at the design and development of six hybrid nature inspired algorithms based on Grey Wolf Optimization algorithm with Artificial Bee Colony Optimization algorithm ...
Modeling Hybrid Metaheuristic Optimization Algorithm for Convergence Prediction
Modeling Hybrid Metaheuristic Optimization Algorithm for Convergence Prediction
The project aims at the design and development of six hybrid nature inspired algorithms based on Grey Wolf Optimization algorithm with Artificial Bee Colony Optimization algorithm ...
Comparison of Color Matching Ability of Dental Students and Dental Graduates using Vita Tooth Guide 3-D Master
Comparison of Color Matching Ability of Dental Students and Dental Graduates using Vita Tooth Guide 3-D Master
Background: Achieving a satisfactory color match for dental restorations necessitates the effective selection and replication of shades. The knowledge of color science provides an ...

