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...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| 格式: | Article |
| 出版: |
International Society for Optical Engineering (SPIE)
2014
|
| 主题: | |
| 在线阅读: | http://eprints.um.edu.my/14328/ https://doi.org/10.1117/1.JBO.19.5.057009 |
| 标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
成为第一个发表评论!