Back to articles
Articles
Volume: 10 | Article ID: art00018
Image
Non-Contact Colorimeter for Human Tooth Color Assessment Using A Digital Camera
Du-Yong Ng
Jan P. Allebach
Mostofa Analoui
Zygmunt Pizlo
  DOI :  10.2352/CIC.2002.10.1.art00018  Published Online :  January 2002
Abstract

Wu et al developed model-based and regression-based colorimeters in their paper entitled Imaging colorimetry using a digital camera. They found that the regression-based system worked better than the model-based system. In this work, we modify their regression-based model slightly to improve the system performance. We also present another regression-based model that is capable of recovering the spectral reflectance of teeth. Both models are realized and evaluated clinically.

Journal Title : Color and Imaging Conference
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
Subject Areas :
Views 4
Downloads 0
 DOI 10.2352/CIC.2002.10.1.art00018
 articleview.views 4
 articleview.downloads 0
  Cite this article 

Du-Yong Ng, Jan P. Allebach, Mostofa Analoui, Zygmunt Pizlo, "Non-Contact Colorimeter for Human Tooth Color Assessment Using A Digital Camera"  in Proc. IS&T 10th Color and Imaging Conf.,  2002,  pp 86 - 92,  https://doi.org/10.2352/CIC.2002.10.1.art00018

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2002
72010350
Color and Imaging Conference
color imaging conf
2166-9635
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2166-9635(20020101)2002:1L.86;1-
cic_v2002n1/splitsection18.xml
/ist/cic/2002/00002002/00000001/art00018
Articles
Non-Contact Colorimeter for Human Tooth Color Assessment Using A Digital Camera
NgDu-Yong
AllebachJan P.
AnalouiMostofa
PizloZygmunt
01012002
2002
1
86
92
2002
Wu et al developed model-based and regression-based colorimeters in their paper entitled Imaging colorimetry using a digital camera. They found that the regression-based system worked better than the model-based system. In this work, we modify their regression-based model slightly to improve the system performance. We also present another regression-based model that is capable of recovering the spectral reflectance of teeth. Both models are realized and evaluated clinically.