An Adaptive Computer-aided Tongue Diagnosis Method using Color-calibration Preprocessing and Multiple Feature Synthesis based on Android
Authors: Miao Wang, Li Chen, Qing Li, Dongyi Wang and Yiqin Liu, Yi Zhang, Shoulan Bing, Huiliang Shang*
(Miao Wang is the tutor who instructed us from Shanghai University of Traditional Chinese Medicine)
Tongue diagnosis plays a significant role in Traditional Chinese Medicine. Due to its experience-based nature, an increasing number of researchers have been studying on automatic tongue diagnosis methods. However, most methods fail to calibrate the input tongue images which rely on the quality of tongue images. In this paper, we present an optimized computer-aided tongue diagnosis method based on Android platform which makes up the drawbacks and insufficiency of our previous work. First, it calibrates the color of the input tongue images and make them standardized. Then the hue range of the brim pixels of the sample images is evaluated based on maximum likelihood estimate method. This can help us obtain edges and link them into a complete outline to finish tongue segmentation. Finally we realize the new algorithm on Android platform which can give the classification of the tongue and make diagnosis. Compared to existing calibration algorithms, our system shows better robustness, comprehension and accuracy.
color-calibration, feature extraction, tongue diagnosis, Android platform
Reference to this paper should be made as follows: Wang, M., Chen, L., Li, Q., Wang, D., Liu, Y., Zhang, Y., Bing, S. and Shang, H. (2015) ‘An adaptive computer-aided tongue diagnosis method using colour-calibration preprocessing and multiple feature synthesis based on Android platform’, Int. J. Wireless and Mobile Computing, Vol. 9, No. 3, pp.240–249.
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