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...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Published: |
International Society for Optical Engineering (SPIE)
2014
|
| Subjects: | |
| Online Access: | http://biomedicaloptics.spiedigitallibrary.org/article.aspx?articleid=1874341 http://biomedicaloptics.spiedigitallibrary.org/article.aspx?articleid=1874341 |