PMID- 32021495
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220412
IS  - 1179-1470 (Print)
IS  - 1179-1470 (Electronic)
IS  - 1179-1470 (Linking)
VI  - 12
DP  - 2019
TI  - Comparative Analysis of Color Matching System for Teeth Recognition Using Color 
      Moment.
PG  - 497-504
LID - 10.2147/MDER.S224280 [doi]
AB  - BACKGROUND: In recent years, veritable image processing systems have been 
      developed for several field applications, some of which are recognition and 
      classification. One such application is in the medical field for teeth color 
      matching systems. The color matching technique is a feasible solution for 
      classifying patients' teeth images to evaluate the suitable treatment of tooth 
      replacement in dentistry. However the lighting conditions of the environment and 
      visual teeth color deficiency will be influenced or affected by the color 
      matching performance. METHODS: This paper proposes the comparative analysis of a 
      color matching system, using K-nearest neighbors (KNN), neural network (NN), and 
      decision tree (DT) algorithms to classify and recognize 16 types of dental images 
      of persons that used several extracted features, from shade guide of teeth, with 
      a digital camera, ranging from 250-300 lux lighting value. The extracted features 
      are produced from RGB, HSV, and Lab color moment characteristic calculation of 
      tooth samples. Those features were compared with input images using euclidean 
      distance value. RESULTS: KNN algorithm in RGB characteristic achieves 97.5% 
      within only a 0.02 second computation time. CONCLUSION: KNN algorithm in RGB 
      characteristic provides the best performance when compared to the other 
      approaches.
CI  - (c) 2019 Justiawan et al.
FAU - Justiawan
AU  - Justiawan
AD  - Department of Research and Development, Tione Indonesia Jaya, Surabaya 60111, 
      Indonesia.
FAU - Wahjuningrum, Dian Agustin
AU  - Wahjuningrum DA
AUID- ORCID: 0000-0002-5168-1016
AD  - Department of Conservative Dentistry, Faculty of Dental Medicine, Universitas 
      Airlangga, Surabaya 60131, Indonesia.
FAU - Hadi, Ratna Puspita
AU  - Hadi RP
AD  - Department of Conservative Dentistry, Faculty of Dental Medicine, Universitas 
      Airlangga, Surabaya 60131, Indonesia.
FAU - Nurhayati, Adienda Pajar
AU  - Nurhayati AP
AUID- ORCID: 0000-0002-6206-2165
AD  - Department of Conservative Dentistry, Faculty of Dental Medicine, Universitas 
      Airlangga, Surabaya 60131, Indonesia.
FAU - Prayogo, Kevin
AU  - Prayogo K
AD  - Department of Conservative Dentistry, Faculty of Dental Medicine, Universitas 
      Airlangga, Surabaya 60131, Indonesia.
FAU - Sigit, Riyanto
AU  - Sigit R
AD  - Department of Informatic Engineering, Magister Program of Engineering Technology, 
      Electronic Engineering Polytechnic Institute of Surabaya, Surabaya, Indonesia.
FAU - Arief, Zainal
AU  - Arief Z
AD  - Department of Electrical Engineering, Magister Program of Engineering Technology, 
      Electronic Engineering Polytechnic Institute of Surabaya, Surabaya, Indonesia.
LA  - eng
PT  - Journal Article
DEP - 20191230
PL  - New Zealand
TA  - Med Devices (Auckl)
JT  - Medical devices (Auckland, N.Z.)
JID - 101566041
PMC - PMC6946634
OTO - NOTNLM
OT  - KNN algorithm
OT  - color matching
OT  - color moment
OT  - teeth recognition
COIS- The authors report no conflicts of interest in this work.
EDAT- 2020/02/06 06:00
MHDA- 2020/02/06 06:01
PMCR- 2019/12/30
CRDT- 2020/02/06 06:00
PHST- 2019/09/17 00:00 [received]
PHST- 2019/11/22 00:00 [accepted]
PHST- 2020/02/06 06:00 [entrez]
PHST- 2020/02/06 06:00 [pubmed]
PHST- 2020/02/06 06:01 [medline]
PHST- 2019/12/30 00:00 [pmc-release]
AID - 224280 [pii]
AID - 10.2147/MDER.S224280 [doi]
PST - epublish
SO  - Med Devices (Auckl). 2019 Dec 30;12:497-504. doi: 10.2147/MDER.S224280. 
      eCollection 2019.