Artificial visual system used for dental fluorosis discrimination

Abstract

A new technique for the estimation of the degree of fluorosis based on Dean Index and artificial vision system to improve the diagnostic of dental fluorosis is proposed. A group of 15 people diagnosed with dental fluorosis according with the Dean Index was studied. The images were digitally processed in order to discern and estimate the dental fluorosis using a discrimination algorithm based on one layer of Artificial Neural Networks and statistics criterion. A vision system and the implemented algorithm showed the ability to detect the different degrees of dental fluorosis in accordance with the diagnosis. Additionally, with this technique it was possible to identify the different affectation degrees of fluorosis by dental piece. The inclusion of a vision system and an algorithm for the estimation of dental fluorosis in this technique contributes as an alternative tool for an objective diagnostic by specialists.