Analysis and recognition of characteristics of digitized tongue pictures and tongue coating texture based on fractal theory in traditional Chinese medicine

References

• Ji DF. Syndrome differentiation of traditional Chinese medicine tongue pictures. Tianjin: Tianjin Science & Technology Translation Publishers; 2008.
   Google Scholar
• Song TB. Atlas of traditional Chinese medicine tongue coat. Beijing: People’s Medical Publishers; 2003.
   Google Scholar
• Zhu WF. Diagnostics of Chinese Medicine. Shanghai: Shanghai University of Chinese Medicine Publishers; 2006.
   Google Scholar
• Shen LS. Collection and analysis of tongue pictures in traditional Chinese medicine. Beijing: Beijing University of Technology Publishers; 2007.
   Google Scholar
• Huang SQ, Zhang YL, Zhou J, et al. Research progress on the objectification, quantitation and standardization of tongue manifestation in traditional Chinese medicine. China J Traditional Chinese Med Pharmacy 2017;4:1625–1627.
   Google Scholar
• Zhuo L, Zhang P, Qu P, et al. A K-PLSR-based color correction method for TCM tongue images under different illumination conditions. Neurocomputing 2016;174:815–821.
   Web of Science ®Google Scholar
• Zhang J, Hu G, Zhang X. Extraction of tongue feature related to TCM physique based on image processing. Int Comp Conf Wavel Active Media Technol Info Proc IEEE 2016;6:251–255.
   Google Scholar
• Xu WM, Wang CC, Hu JQ. Research progress and problems analysis of objective measurement of Tongue Fur. World Chinese Med 2017;12:1997–2000.
   Google Scholar
• Zhang J, Qian J, Wang RJ, et al. Research status of objective characteristics of TCM digitized tongue. World Sci Technology-Modernization Traditional Chinese Med. 2014;11:2420–2424.
   Google Scholar
• Jiang SH, Lin J. Review on objective and essential research of tongue image. Shanghai J Traditional Chinese Med. 2016;7:94–97.
   Google Scholar
• Tang RS. Traditional Chinese medicine-based texture analysis of thickness of tongue coating[dissertation]. Harbin Inst Technol. Harbin: Harbin Institute of Technology; 2007.
   Google Scholar
• Zhai TT, Xia CM, Wang YQ, et al. Recognition of greasy or curdy tongue coating based on Gabor wavelet transformation. Com Appl Softw. 2016;33:162–166.
   Google Scholar
• Tu LP, Xu JT, Zhang ZF. Study on the recognition method of the greasy tongue coating. Proc Twelfth Annual Conf Chinese Med Diagnosis. 2011;7:75–79.
   Google Scholar
• Xu JT, Sun Y, Zhang ZF. Analysis and discrimination of tongue texture characteristics by difference statistics. J Shanghai Univ Traditi Chin Med. 2003;17:55–58.
   Google Scholar
• Wei BG, Shen LS, Cai YH, et al. Research on curdy and greasy tongue fur analysis for traditional Chinese medicine. Acta Electronica Sinica. 2003;31:2083–2086.
   Google Scholar
• Tsung-Chieh L, Lun-Chien L, Wu FC. Traditional Chinese medicine for metabolic syndrome via TCM pattern differentiation: Tongue diagnosis for predictor. Evid-Based Compl Alt Med. 2016;10:1–8.
   Google Scholar
• Liu CY. Texture based tongue classification and its application[dissertation]. Harbin: Harbin Institute of Technology; 2006.
   Google Scholar
• Qi Z, Xu JT, Zhang ZF, et al. Progress in clinical application of tongue inspection objectivity based on digital image processing technique. China J Traditional Chinese Med Pharm. 2015;8:2849–2851.
   Google Scholar
• Pentland AP. Fractal-based description of natural scenes. IEEE Trans Pattern Anal Mach Intell. 1984;PAMI-6:661–674.
   Web of Science ®Google Scholar
• Zhou CX, Chen GM, Tan YQ. Fractal measurement and characterization on roughness of coarse aggregate surface texture. J Harbin Inst Tech. 2009;41:85–89.
   Google Scholar
• Keller JM, Chen S, Crownover RM. Texture description and segmentation through fractal geometry. Comput Vision Graph. 1989;45:150–166.
   Google Scholar
• Liu Y, Lin J, Chen K. A stable algorithm of box fractal dimension and its application in pore structure. Rare Metal Mat Eng. 2015;44:800–804.
   Web of Science ®Google Scholar
• Feng G, Wang M, Wang M, et al. Connotations of pixel-based scale effect in remote sensing and the modified fractal-based analysis method. Comput Geosci. 2017;103:183–190.
   Web of Science ®Google Scholar
• Zhang QM. Introduction of mathematic traditional Chinese medicine. Beijing: Chinese Ancient Book Publishers; 2011.
   Google Scholar
• Qi Z, Tu L, Chen J, et al. The classification of tongue colors with standardized acquisition and ICC profile correction in traditional Chinese medicine. Biomed Res Int. 2016;1:1–9.
   Web of Science ®Google Scholar
• Sun X, Wu ZQ, Huang Y. Fractal principle and application. Beijing: Publishers of University of Science and Technology of China; 2006.
   Google Scholar
• Foroutan-Pour K, Dutilleul P, Smith DL. Advances in the implementation of the box-counting method of fractal dimension estimation. Appl Math Comput. 1999;105:195–210.
   Web of Science ®Google Scholar
• Wang DJ, Zhao HY, Peng H. Extraction and application of texture characteristics based on fractal dimensions. J Shihezi Univ 2007;25:650–653.
   Google Scholar
• Li ZL, Su YT. A kind of method for separation between tongue coating and nature based on clustering. Acta Scientiarum Naturalium Univ Nankaiensis 2017;4:52–56.
   Google Scholar
• Wang ZL. Multiple fractal spectrums and the calculation. J B Univ Aeronautics Astronautics 2006;23:256–258.
   Google Scholar
• Geng GH, Sun W, Luo P. Recognition of neural network models. Softw Guide 2008;7:81–83.
   Google Scholar
• Shen HY, Wang ZX, Gao CY. Determining the number of BP neural network hidden layer units. J Tianjin Univ Technol 2008;2:13–15.
   Google Scholar
• Ding S, Su C, Yu J. An optimizing BP neural network algorithm based on genetic algorithm. Artif Intell Rev. 2011;36:153–162.
   Web of Science ®Google Scholar
• Ding J, Cao G, Meng D. Classification of tongue images based on doublet SVM. Int Symp Syst Soft Reliab IEEE. 2016:77–81.
   Google Scholar
• Chen SH, Liang R. Tongue texture analysis: problems and solutions. World Sci Technology-Modernization Traditional Chinese Med 2006;8:22–25.
   Google Scholar