Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Segmentation of Periapical Dental X-Ray Images by applying Morphological Operations

Author : Anuj kumar 1 H.S.Bhadauria 2 Nitin Kumar 3

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.

Reference :

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    3. A. K. Jain, H. Chen, “Matching of dental X-ray images for human identification. Pattern Recognit” 37 (7), 1519–1532, 2004.
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