A novel expert system for diagnosis of fetal alcohol syndrome using close range photogrammetry

Remaining necessary information will be received from the patient along with the output of last stage applies to expert system. Decision making in expert system is based on fuzzy method which is done in two stages. In the stage of extracting data from image, according to provided samples, the operator can choose the key points manually. However, due to the dependence of this method to the operator, it is recommended to the user to select image processing the accuracy and validity of input parameters extraction and accelerate the effective of the whole process. In this paper, we have tried to present an expert system to diagnose fetal alcohol syndrome in which we are able to diagnose the diagnose without the need for an expert. In this method according to the input image, the parameters for diagnose of eye deformities extracted and will be sent to the expert system as input.