Authors : G. Uma Devi and E.A. Mary Anita
Abstract: The tongue is a burly organ used to speak, taste and swallow the food. The purpose of the organ extends to identify the inner working of a human body. Any unexpected reaction of the human body parts such as stomach, pancreas, liver and intestines will reflect on the tongue. The changes in the tongue ensures the misbehavior of the internal organs of the human being. The working mirror of the doctor reflects the discomforts occur not only in stomach and intestine but also, the variation of the presence of sugar level in the human body. It could be analyzed by the changes in the color and texture of the tongue. In this study, we propose the processing of tongue image by using PSO along with SRG method and then analysis the texture by using local binary pattern, local directional pattern and efficient local binary pattern. The filters are used to identify the exact changes in the tongue by comparing the images. We proposed the Image segmentation method; the segmented study of the tongue reflects the presence of Diabetes of a person in addition optimization technique is used to obtain the best result. The system framework comprises of capturing the image, preprocessing of the image, identifying the texture and color feature are implemented and identifies the problem effectively and the result achieved better performance when compared to all other existing techniques.
G. Uma Devi and E.A. Mary Anita, 2016. Tongue Image Analysis for Diabetic Diagnosis Detection Using Image Segmentation. Asian Journal of Information Technology, 15: 424-436.