Artificial Intelligence and Communication Technologies
Jihva Parikshan Using Image Processing
Authors: Pooja Yadav , Urvi Shah , Manasi Nande and Shruti Dodani
Publishing Date: 09-03-2023
ISBN: 978-81-955020-5-9
Abstract
Disease evaluation based on analysis of the tongue is a simple approach to examining body health in Indian Ayurveda and TCM (Traditional Chinese Medicine). However, “Jihva Parikshan” (Tongue Diagnosis) is not much practiced in modern-day western medicine because the process is manual and thus human–error-prone during analysis. One of the main aims of this project is to bridge the gap between traditional and modern western medicine practices by automating the tongue analysis process. We are using advances in digital image processing to automatically analyze and characterize differences in tongue features. It is a non-invasive method for disease classification and causes almost no cost for carrying out the analysis and mapping of bodily conditions. Various techniques used for digital image processing are compared to conclude which method gives more accurate results. Changes in tongue color, coating, contour, and geometry may suggest physical or mental ailments, which help us determine the well-being of an individual and analyze the progress of a disease. We’ve used a sequential technique for processing tongue images to improve the quality of segmentation. We achieved promising experimental results by applying this method to a database of tongue images that we collected. Disease diagnosis using the reflex zones of the tongue is carried out by processing tongue images of patients with the help of the MATLAB program. Otsu thresholding and Watershed segmentation methods are used to classify the processed images according to different parameters. The next step forward in tongue diagnosis using image processing would be analyzing real-time patient images.
Keywords
Image Processing, Watershed segmentation, Otsu Thresholding, MATLAB, Tongue Diagnosis.
Cite as
Pooja Yadav , Urvi Shah , Manasi Nande and Shruti Dodani, "Jihva Parikshan Using Image Processing", In: Saroj Hiranwal and Garima Mathur (eds), Artificial Intelligence and Communication Technologies, SCRS, India, 2023, pp. 739-751. https://doi.org/10.52458/978-81-955020-5-9-70