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Digital Image Enhancement Techniques for Dental Radiographs: A Support to Clinicians

Digital Image Enhancement Techniques for Dental Radiographs: A Support to Clinicians

E. Priya
Copyright: © 2019 |Pages: 39
ISBN13: 9781522562436|ISBN10: 1522562435|EISBN13: 9781522562443
DOI: 10.4018/978-1-5225-6243-6.ch001
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MLA

Priya, E. "Digital Image Enhancement Techniques for Dental Radiographs: A Support to Clinicians." Computational Techniques for Dental Image Analysis, edited by K. Kamalanand, et al., IGI Global, 2019, pp. 1-39. https://doi.org/10.4018/978-1-5225-6243-6.ch001

APA

Priya, E. (2019). Digital Image Enhancement Techniques for Dental Radiographs: A Support to Clinicians. In K. Kamalanand, B. Thayumanavan, & P. Jawahar (Eds.), Computational Techniques for Dental Image Analysis (pp. 1-39). IGI Global. https://doi.org/10.4018/978-1-5225-6243-6.ch001

Chicago

Priya, E. "Digital Image Enhancement Techniques for Dental Radiographs: A Support to Clinicians." In Computational Techniques for Dental Image Analysis, edited by K. Kamalanand, B. Thayumanavan, and P. Mannar Jawahar, 1-39. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-6243-6.ch001

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Abstract

Dental radiographs suffer frequently from issues such as low contrast and non-uniform illumination. The first step, indeed a significant step, is to enhance these digital images to prepare them for successful post-processing. This pre-processing stage assists to increase the contrast between the foreground that is the teeth and bone from the background regions. In this chapter, image enhancement methods based on spatial, frequency, and spatial-frequency are implemented. The dental radiographs used are available in the public database. The performance of the enhancement methods is validated using qualitative and quantitative measures. It is observed from the results that the enhancement method aids in improving dental features such as crowns, fillings, and bridges. This enables human identification and diagnostic purpose in the way it is possible to identify a variety of diseases. It also prevents the need for a remake, saving the patient from an additional treatment.

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