Detection of Oral and Dental Tissue from the Biomaterials Used in Teeth Using Medical Image Processing Technique

Abstract

Oral disease is one of the most common causes of death in some countries. Changing habits and diet, not observing oral hygiene, neglecting the importance and health of teeth are the most important causes of oral diseases, these diseases may be specific to the oral cavity or may contribute to the disease in humans as part of an incompatible substance. In the meantime, the field of image processing has been proposed to provide automatic systems for disease diagnosis. Among medical image processing methods, image edging is the process of identifying and changing the display of an image. The purpose of this study is to use the edge recognition method and compare it with previous algorithms to be able to more accurately identify oral tissue from biological materials used in teeth than in the past. In the present study, using the method of Image segmentation (edge detection) is labeled for each pixel, so that pixels with the same label have similar properties. Oral and dental tissue segmentation was performed. Quantitative analysis of the results showed an accuracy of over 80% of the proposed method for oral tissue diagnosis. So that by using the results, it is possible to best identify a person who has a lesion in the tooth or oral tissue.