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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| 主要な著者: | , , , , , , |
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| フォーマット: | 論文 |
| 出版事項: |
International Society for Optical Engineering (SPIE)
2014
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| 主題: | |
| オンライン･アクセス: | http://eprints.um.edu.my/14328/ https://doi.org/10.1117/1.JBO.19.5.057009 |
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