Paper
18 January 1988 Caries Detection In Dental Radiographs
Stanley M. Dunn
Author Affiliations +
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].
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stanley M. Dunn "Caries Detection In Dental Radiographs", Proc. SPIE 0829, Applications of Digital Image Processing X, (18 January 1988); https://doi.org/10.1117/12.942136
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KEYWORDS
Radiography

Error analysis

Dental caries

Digital image processing

Image analysis

Image segmentation

Tissues

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