Classification of reflected signals from cavitated tooth surfaces using an artificial intelligence technique incorporating a fiber optic displacement sensor

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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Bibliographic Details
Main Authors: Rahman, H.A., Harun, Sulaiman Wadi, Arof, Hamzah, Irawati, Ninik, Musirin, I., Ibrahim, Fatimah, Ahmad, Harith
Format: Article
Published: International Society for Optical Engineering (SPIE) 2014
Subjects:
QC Physics
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.um.edu.my/14328/
https://doi.org/10.1117/1.JBO.19.5.057009
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Institution: Universiti Malaya

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http://eprints.um.edu.my/14328/
https://doi.org/10.1117/1.JBO.19.5.057009

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