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Thresholding Techniques for Dental Radiographic Images: A Comparative Study

Thresholding Techniques for Dental Radiographic Images: A Comparative Study
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Author(s): Arockia Sukanya (Madras Institute of Technology, India)and Kamalanand Krishnamurthy (Madras Institute of Technology, India)
Copyright: 2019
Pages: 22
Source title: Computational Techniques for Dental Image Analysis
Source Author(s)/Editor(s): K. Kamalanand (Anna University, India), B. Thayumanavan (Sathyabama University Dental College and Hospital, India)and P. Mannar Jawahar (Anna University, India)
DOI: 10.4018/978-1-5225-6243-6.ch002

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Abstract

Imaging techniques play a major role in improving the early detection and diagnostic process that helps dentists to make accurate diagnosis. One of the most useful medical images used by dentists is radiographic image, which is used for the treatment of various dental disorders. Segmentation is a fundamental step as it involves separation of an image into regions corresponding to the objects. A simple and natural way to segment such regions is through thresholding. In this chapter, various thresholding techniques such as Otsu's method for global thresholding and Niblack's, Bersen's, and Sauvola's techniques for local thresholding are extensively explained with the help of dental radiographic images.

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