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http://dx.doi.org/10.5573/ieie.2014.51.11.221

Development and Evaluation of an Indirect Illumination for Tongue Image Acquisition  

Jung, Chang Jin (Medical Engineering R&D Group, Korea Institute of Oriental Medicine)
Kim, Keun Ho (Medical Engineering R&D Group, Korea Institute of Oriental Medicine)
Jang, Jun-Su (Medical Engineering R&D Group, Korea Institute of Oriental Medicine)
Jeon, Young Ju (Medical Engineering R&D Group, Korea Institute of Oriental Medicine)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.51, no.11, 2014 , pp. 221-228 More about this Journal
Abstract
The color and shape of the tongue reflect the physiological and clinico-pathological condition of the body. Recently, various tongue image acquisition devices have been developed for accurate diagnosis based on quantitative and objective tongue features. Since a color information is essential for tongue diagnosis, the performance of an illuminator is very important for the tongue image acquisition device. In this study, we developed an indirect illumination, which is possible to improve a homogeneity of light intensities on the tongue surface, and evaluated its performances. In order to realize the indirect illumination (II), a semi-ellipsoidal solid structure (SESS) for the light reflex was located in the system, and two high-brightness white LEDs were placed for illuminating the areas under frontal camera in the SESS. The tongue surface was illuminated by reflected light from the SESS. The light homogeneity induced by three different illuminations including the II was evaluated by calculating coefficient of variation (CV) of illuminance of five regions. The II showed less than 0.01 of CV and the direct illumination (DI) and the direct illumination with a light diffusion plate (DILDP) showed 0.16 and 0.13, respectively. The reflexed pixel ratios of tongue phantom images show 5.76%, 4.22%, 1.79% for the DI, the DILDP and the II, respectively. The homogeneity of a tongue phantom was evaluated by calculating CV of mean pixel values of six different tongue regions, and showed less than 0.06 in the II. If the II technique apply to tongue diagnosis system, it is expected to improve diagnostic accuracy in clinic.
Keywords
설 영상 획득;간접조명;조명 균질도;영상 측정 시스템;조명 반사;
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1 G. Li, J, Zhao, J. X. Li, H. Xiong, L. Lin, Y. Tong and B. J. Zhang, "Noninvasive Prediction of Red Blood Cell Counts by Normalized Reflection Spectroscopy for Tongue Inspection", Spectroscopy and Spectral Analysis, Vol. 31, no. 5, pp. 1328-31, 2011.
2 W. J. Yan, J. Zhang, G. Q. Hu, J. Zhao, L. Lin, X. Z. Lu and G. Li, "Study on Near Infrared Spectrum in the Application of the BP Neural Network in the Tongue Diagnosis for Hepatitis Patients", Spectroscopy and Spectral Analysis, Vol. 30, no. 10, pp. 2628-31, 2010.
3 http://skylarkdevice.en.ecplaza.net/tds-2005-tongue -diagnostic-system-32428-152463.html
4 S. Yamamoto, N. Tsumura, T. Nakaguchi, T. Namiki, Y. Kasahara, K. Terasawa and Y. Miyake, "Regional image analysis of the tongue color spectrum", Int. J Comput Assit Radiol Surg., Vol. 6, no. 1, pp. 143-152, 2011.   DOI   ScienceOn
5 X. Wang, D. Zhang, "A new tongue color checker design by space representation for precise correction", Biomedical and Health Informatics, Vol 17, no. 2, pp. 381-91, 2013.   DOI   ScienceOn
6 C. J. Jung, Y. J. Jeon, J. Y. Kim and K. H. Kim, "Review on the current trends in tongue diagnosis systems", Integrative Medicine Research, vol. 1, no. 1, pp. 13-20, 2012.   DOI
7 C. J. Jung, K. H. Kim, Y. J. Jeon and J. Kim, "Improving color and shape repeatability of tongue images for diagnosis by using feedback gridlines", European Journal of Integrative Medicine, Vol. 6, pp. 328-336, January 2014.   DOI   ScienceOn
8 R. Kanawong, T. Obafemi-Ajayi, T. Ma, D. Xu, S. Li and Y. Duan, "Automated tongue feature extraction for ZHENG classification in traditional Chinese medicine", Evidence-Based Complementary and Alternative Medicine, Vol. 2012, Article ID 912852, 14 pages, 2012.
9 D. Nickerson, "Light sources and color rendering", Journal of the Optical Society of America, Vol. 50, no.1, pp. 57-68, 1960.   DOI
10 R. C. Gonzalez and R. E. Woods, Digital Image Processing Using MATLAB, Prentice Hall, 2003, Chapter 11.
11 J. S. Kim, G. J. Han, B. H. Choi, J. W. Park, K. Park, I. K. Yeo and B. H. Ryu, "Development of differential criteria on tongue coating thickness in tongue diagnosis", Complementary Therapies in Medicine, Vol. 20, pp. 316-22, 2012.   DOI
12 C. J. Jung, J. H. Nam, Y. J. Jeon and K. H. Kim, "Color Distribution Differences in the Tongue in Sleep Disorder", Complementary Therapies in Medicine, Vol. 2014, Article ID 323645, 8 pages, 2014.
13 Y. Jeon, K. Kim, J. Do, H. Ryu and J. Kim, "The Development of a Tongue Diagnosis System and the Evaluation of Reproducibility", Korean Journal of Oriental Medicine, Vol. 14, no. 3, pp. 97-102, 2008.   과학기술학회마을
14 C. Peng, Inspection, Jisangsa, 241-243, 2006.
15 B. Y. Kim and K. M. Park, "Development of Digital Tongue Inspection Acquirement and Management System for Tongue Diagnosis", The Journal of the Society of Korean Medicine Diagnostics, Vol. 6, no. 1, pp. 65-78, 2002.   과학기술학회마을
16 D. H. Nam, J. H. Kim and S. S. Lee, "Mechanical Design and Development of a Digital Tongue Imaging System Equipped with LEDs", The Journal of the Society of Korean Medicine Diagnostics, Vol. 16, no. 3, pp. 41-48, 2012.   과학기술학회마을