Diagnosis Of Diabetes By Tongue Analysis

Tongue image is used to identify any disease based on its shape, color, size and texture. 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. We are explaining computerized model to examine the changes in tongue, this will be useful in finding different diseases that will take place in the patient's body. First we have to take the samples of image and introduce the image processing techniques to differentiate the color and texture features. With this technique we can classify the tongue image by using Classifier model. The proposed design represents an input image, preprocessing that image, identifying the color, gist feature, implemented and identifies the problem effectively and the result achieved better performance when compared to existing techniques