Dental Caries Diagnose System

Abstract

Recently AI techniques have lifelong impact in biomedical and widely accepted outcomes. The main objective of the paper is to evaluate accurate detection of caries using feature extraction and classification of the dental images along with K-NN classifier. Input image is acquired from database of dental images. This image is then pre-processed to remove noise.  Here pre-processing is for improvement of the image data so as to suppress unwanted distortions or to enhance    image features which are important   for   further processing. Dataset of dental caries is feed as input to training of K-NN classifier, in order to classify the image and to predict whether the feature extracted image is normal or affected by cavity.