13 A machine vision technique-based tongue diagnosis system in Ayurveda

The analysis of the tongue is crucial in the evaluation of the human body in Ayurveda medicine. There is a substantial research scope for tongue diagnosis in Ayurvedic therapy. The aim of this chapter is at classifying the tongue pictures into vata, pitta and kapha (tri-dosha) with the color, coating, texture and shape features. These characteristics would also be determined largely by the portion of the tongue part (upper region, middle region and sides). Segmentation is the most important procedure in defining the region of interest in the tongue image. These features include various color models and differentiated parts of the tongue body. Coating and background are also considered for feature set to feed them to the training-testing model for classification. The final outcome of the research is to blend in with the traditional Ayurvedic methods to the machine learning model as it describes the most basic class of inspection in medication.