The tongue is said to express the condition of the entire body. Therefore, tongue diagnosis is an important diagnosis method in Kam- po Medicine. Changes in the color of different parts of the tongue reflect different health conditions. Digital tongue image capturing systems such as the tongue image analyzing system (TIAS), are aimed at performing diagnosis at a low cost, before the occurrence of illness. We successfully acquired a digital tongue image using the TIAS. However, it is difficult to designate the same analysis region among datasets owing to instability of tongue indication by participants (human subjects) without shape normalization.
In this study, we examined the effect of attaching a small viewer to a TIAS to improve the stability of tongue presentation and the accuracy of color evaluation.
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