Author : Anuj kumar 1
Date of Publication :22nd February 2018
Abstract: Segmentation of Dental X-ray images is done using various image processing techniques which are useful in medical diagnosis, clinical purposes and real-time applications. These methods aim to define the segmentation of different tooth structures present in the Dental X-ray images which will be used for the early detection of caries, tooth fractures, root canal treatment and periodontal diseases etc. which plays a key role in the identification of diseases. Manual segmentation of Dental X rays images for the medical diagnosis, from the large databases in clinical routine, is very complex and time-consuming process. In this paper, we propose a three-step procedure for the segmentation of each individual tooth, firstly preprocessing is done using a top hat and bottom hat filtering then Otsu’s thresholding with morphological operations are employed to separate the tooth structures from the Dental X-ray images. Performance evaluation is done using 10 periapical X-ray images and the accuracy of the method is measured as 97% approximately.
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