Analysis Of Image Segmentation Techniques For Dental Radiographs
A.Suresh Kumar, Mr. Harish Kumar.
Abstract
Now a days, one of the most prevalent dental illnesses affecting people of all ages worldwide is dental caries. It might be difficult to identify dental caries in its early stages using dental x-ray or radiovisiography (RVG) pictures. Nearly all medical areas employ deep learning to anticipate or identify certain disorders. In this study, a K-means clustering for image segmentation was proposed and examined. This study has shown that image enhancement methods are crucial for enhancing the quality of dental radiograph pictures. The proposed k- means model algorithm has been done, with better accuracy.
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