Statistical Analysis of Tongue Images for Feature Extraction and Diagnostics
- 1 October 2013
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Image Processing
- Vol. 22 (12), 5336-5347
- https://doi.org/10.1109/tip.2013.2284070
Abstract
In this paper, an in-depth analysis on the statistical distribution characteristics of human tongue color that aims to propose a mathematically described tongue color space for diagnostic feature extraction is presented. Three characteristics of tongue color space, i.e., tongue color gamut that defines the range of colors, color centers of 12 tongue color categories, and color distribution of typical image features in the tongue color gamut, are elaborately investigated in this paper. Based on a large database, which contains over 9000 tongue images collected by a specially designed noncontact colorimetric imaging system using a digital camera, the tongue color gamut is established in the CIE chromaticity diagram by an innovatively proposed color gamut boundary descriptor using one-class SVM algorithm. Thereafter, centers of 12 tongue color categories are defined accordingly. Furthermore, color distributions of several typical tongue features, such as red points and petechial points, are obtained to build a relationship between the tongue color space and color distributions of various tongue features. With the obtained tongue color space, a new color feature extraction method is proposed for diagnostic classification purposes, with experimental results validating its effectiveness.Keywords
This publication has 38 references indexed in Scilit:
- A survey of skin-color modeling and detection methodsPattern Recognition, 2007
- The Appearance of Human Skin: A SurveyFoundations and Trends® in Computer Graphics and Vision, 2007
- Tongue image analysis for appendicitis diagnosisInformation Sciences, 2005
- Computerized Tongue Diagnosis Based on Bayesian NetworksIEEE Transactions on Biomedical Engineering, 2004
- A comparative study of the characterisation of colour cameras by means of neural networks and polynomial transformsColoration Technology, 2004
- Face detection in color imagesIeee Transactions On Pattern Analysis and Machine Intelligence, 2002
- Unsupervised segmentation of color-texture regions in images and videoIeee Transactions On Pattern Analysis and Machine Intelligence, 2001
- Estimating the Support of a High-Dimensional DistributionNeural Computation, 2001
- 10.1162/15324430260185574Applied Physics Letters, 2000
- Color device calibration: a mathematical formulationIEEE Transactions on Image Processing, 1999