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Proceedings Paper

Caries Detection In Dental Radiographs
Author(s): Stanley M. Dunn
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Paper Abstract

Caries, or the decay of teeth are difficult to automatically detect in dental radiographs because of the small area of the image that is occupied by the decay. Images of dental radiographs have distinct regions of homogeneous gray levels, and therefore naturally lead to a segmentation based automatic caries detection algorithm. The difficulty is that the area occupied by the caries is very small and would not be detectable using thresholding algorithms that are not area independent such as the multiclass IS ODATA clustering algorithm or the bimean clustering algorithm [3].

Paper Details

Date Published: 18 January 1988
PDF: 7 pages
Proc. SPIE 0829, Applications of Digital Image Processing X, (18 January 1988); doi: 10.1117/12.942136
Show Author Affiliations
Stanley M. Dunn, Rutgers University (United States)

Published in SPIE Proceedings Vol. 0829:
Applications of Digital Image Processing X
Andrew G. Tescher, Editor(s)

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