Classification of reflected signals from cavitated tooth surfaces using an artificial intelligence technique incorporating a fiber optic displacement sensor
An enhanced dental cavity diameter measurement mechanism using an intensity-modulated fiber optic displacement sensor (FODS) scanning and imaging system, fuzzy logic as well as a single-layer perceptron (SLP) neural network, is presented. The SLP network was employed for the classification of the re...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
International Society for Optical Engineering (SPIE)
2014
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/14328/ https://doi.org/10.1117/1.JBO.19.5.057009 |
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