Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/48804
Title: Automatic Image Processing Based Dental Image Analysis Using Automatic Gaussian Fitting Energy and Level Sets
Authors: Pandey, Pulkit
Bhan, Anupama
Dutta, Malay Kishore
Travieso, Carlos M. 
UNESCO Clasification: 3314 Tecnología médica
Keywords: CLAHE
Segmentation
Bilateral filter
Gaussian Distribution
Independent level sets
Issue Date: 2017
Journal: 2017 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, IWOBI 2017 - Proceedings
Conference: 5th IEEE International Work Conference on Bio-Inspired Intelligence, IWOBI 2017 
Abstract: Identification of the Root canal length is a major concern in the dentistry worldwide, which currently seeks the manual calculation in order to detect the measurement of the teeth. Intensity inhomogeneity often is a major problem in dental x-rays which causes considerable difficulties in segmentation. For better computer-aided diagnosis in dentistry, having a precise tooth segmentation is a critical task, as the cysts and inflammatory lesions generally occur around tooth root areas and these areas in radiographs are generally subject to noise, poor contrast, and very uneven illumination. This paper presents an effective segmentation method using a combinational approach of Local Gaussian Distribution fitting energy along with level sets. Here the local intensities of images are defined by Gaussian distributions which are combined with the level set function for accurate segmentations of teeth contour. The experimental results indicate that segmentation achieves the less number of iterations making it computationally fast and work in real time situation.
URI: http://hdl.handle.net/10553/48804
ISBN: 9781538608500
DOI: 10.1109/IWOBI.2017.7985529
Source: 2017 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, IWOBI 2017 - Proceedings (7985529)
Appears in Collections:Actas de congresos
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