References

Dhanalakshmi, M., P. Premchand and A. Govardhan, 2012. An approach for tongue diagnosing with sequential image processing method. Int. J. Comput. Theory Eng., 4: 322-322.
Direct Link  |  

Dhanalakshmi, M., P. Premchand and A. Govardhan, 2013. Tongue diagnosing with sequential image enhancement methods. Int. J. Eng. Adv. Technol., 2: 831-835.
Direct Link  |  

Dhanalakshmi, M., P. Premchand and A. Goverdhan, 2014. Applying linear wavelet transforms and statistical feature analysis for digital tongue image. IOSR. J. Comput. Eng., 16: 95-102.

Park, J.W., S.K. Kang and S.T. Jung, 2011. Tongue diagnosis system based on PCA and SVM. World Acad. Sci. Eng. Technol. Int. J. Comput. Electr. Autom. Control Inf., 5: 1729-1732.
Direct Link  |  

Preshiya, D.J., 2015. Diagnosing diabetics with reflex zones of the tongue using colourimage segmentation. J. Chem. Pharm. Res., 7: 876-881.

Shi, M., G. Li and F. Li, 2013. C2G2FSnake: Automatic tongue image segmentation utilizing prior knowledge. Sci. China Inf. Sci., 56: 1-14.
CrossRef  |  Direct Link  |  

Zhu, M., J. Du and C. Ding, 2014. A comparative study of contemporary color tongue image extraction methods based on HSI. J. Biomed. Imaging, 2014: 1-10.
CrossRef  |  PubMed  |  Direct Link  |  

Zuo, W., K. Wang, D. Zhang and H. Zhang, 2004. Combination of polar edge detection and active contour model for automated tongue segmentation. Proceedings of the Third International Conference on Image and Graphics (ICIG'04), December 18-20, 2004, IEEE, Hong Kong, China, pp: 270-273.