Notice of retraction
Vol. 32, No. 8(2), S&M2292

ISSN (print) 0914-4935
ISSN (online) 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

Instructions to authors
English    日本語

Instructions for manuscript preparation
English    日本語

Template
English

Publisher
 MYU K.K.
 Sensors and Materials
 1-23-3-303 Sendagi,
 Bunkyo-ku, Tokyo 113-0022, Japan
 Tel: 81-3-3827-8549
 Fax: 81-3-3827-8547

MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.


MYU Research

(proofreading and recording)


MYU K.K.
(translation service)


The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Sensors and Materials, Volume 32, Number 10(1) (2020)
Copyright(C) MYU K.K.
pp. 3185-3207
S&M2332 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2020.2848
Published: October 9, 2020

Dental Shade Matching Method Based on Hue, Saturation, Value Color Model with Machine Learning and Fuzzy Decision [PDF]

Shih-Lun Chen, He-Sheng Zhou, Tsung-Yi Chen, Tsung-Han Lee, Chiung-An Chen, Ting-Lan Lin, Nung-Hsiang Lin, Liang-Hung Wang, Szu-Yin Lin, Wei-Yuan Chiang, Patricia Angela R. Abu, and Ming-Yi Lin

(Received February 29, 2020; Accepted September 9, 2020)

Keywords: dental shade matching, new fuzzy decision, chrominance, HSV, PSNR, CPSNR, S-CIELAB, SSIM

Color information is an important indicator of color matching. It is recommended to use hue (H) and saturation (S) to improve the accuracy of color analysis. The proposed method for dental shade matching in this study is based on the hue, saturation, value (HSV) color model. To evaluate the performance of the proposed method in matching dental shades, peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), composite peak signal-to-noise ratio (CPSNR), and S-CIELAB (Special International Commission on Illumination, L* for lightness, a* from green to red, and b* from blue to yellow) were utilized. To further improve the performance of the proposed method, dental image samples were multiplied by the weighted coefficients derived by training the model using machine learning to reduce errors. Thus, the PSNR of 97.64% was enhanced to 99.93% when applied with the proposed fuzzy decision model. Results show that the proposed method based on the new fuzzy decision technology is effective and has an accuracy of 99.78%, which is a significant improvement of previous results. The new fuzzy decision is a method that combines the HSV color model, PSNR(H), PSNR(S), and SSIM information, which are used for the first time in research on tooth color matching. Results show that the proposed method performs better than previous methods.

Corresponding author: Chiung-An Chen


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Shih-Lun Chen, He-Sheng Zhou, Tsung-Yi Chen, Tsung-Han Lee, Chiung-An Chen, Ting-Lan Lin, Nung-Hsiang Lin, Liang-Hung Wang, Szu-Yin Lin, Wei-Yuan Chiang, Patricia Angela R. Abu, and Ming-Yi Lin, Dental Shade Matching Method Based on Hue, Saturation, Value Color Model with Machine Learning and Fuzzy Decision, Sens. Mater., Vol. 32, No. 10, 2020, p. 3185-3207.



Forthcoming Regular Issues


Forthcoming Special Issues

Special issue on Novel Materials and Sensing Technologies on Electronic and Mechanical Devices (1)
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Hsien-Wei Tseng (Longyan University)
Call for paper


Special Issue on New Trends in Smart Sensor Systems
Guest editor, Takahiro Hayashi (Kansai University)
Call for paper


Special Issue on Intelligent Sensing Control Analysis, Optimization and Automation
Guest editor, Cheng-Chi Wang (National Chin-Yi University of Technology)


Special Issue on International Conference on BioSensors, BioElectronics, BioMedical Devices, BioMEMS/NEMS and Applications 2019 (Bio4Apps 2019)
Guest editor, Hirofumi Nogami and Masaya Miyazaki (Kyushu University)
Conference website
Call for paper


Special Issue on Materials, Devices, Circuits, and Analytical Methods for Various Sensors (4)
Guest editor, Chien-Jung Huang (National University of Kaohsiung), Cheng-Hsing Hsu (National United University), Ja-Hao Chen (Feng Chia University), and Wei-Ling Hsu (Huaiyin Normal University)
Conference website


Special Issue on Geomatics Technologies for the Realization of Smart Cities (1) and (2)
Guest editor, He Huang and XiangLei Liu (Beijing University of Civil Engineering and Architecture)
Call for paper


Copyright(C) MYU K.K. All Rights Reserved.