Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1183
PIRA download icon_1.1View/Download Full Text
Title: SVR based color calibration for tongue image
Authors: Zhang, H
Wang, K
Jin, X
Zhang, DD 
Issue Date: 2005
Source: Proceedings of the 2005 International Conference on Machine Learning and Cybernetics : August 18-21, 2005, Guangzhou, China, p. 5065-5070
Abstract: Tongue color is one of the most important pathological features for Computer Aided Tongue Diagnosis System (CATDS). Color distortion of tongue image, which is often caused by the inconstancy of lighting conditions, can seriously affect the validity of diagnosis results obtained by CATDS and furthermore, impair the interchangeability among tongue images captured by different devices. To circumvent the above problems, we present a novel color calibration model based on Support Vector Regression (SVR) method in this paper. First, a new colorchecker which provides a suitable reference for the following color calibration is produced by color clustering of 322 tongue images. Then, a comparative analysis between the SVR based color calibration method and Polynomial Regression based one is carried out. Results indicate that SVR based color calibration model, cooperating with the proposed colorchecker, provides an outstanding calibration effect and plays an important part in the image acquisition of CATDS.
Keywords: Color calibration
Tongue diagnosis
SVR
Polynomial regress
Publisher: IEEE
ISBN: 0-7803-9091-1
Rights: © 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Appears in Collections:Conference Paper

Files in This Item:
File Description SizeFormat 
tongue-image_05.pdf717.25 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

130
Last Week
1
Last month
Citations as of Mar 24, 2024

Downloads

205
Citations as of Mar 24, 2024

SCOPUSTM   
Citations

40
Last Week
0
Last month
Citations as of Mar 22, 2024

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.