A Vision-Based Inspection System using Fuzzy Rough Neural Network Method

A vision-based inspection method based on rough set theory, fuzzy set and neural network algorithm is presented. The rough set method is proposed to remove redundant features for its data analysis and processing. The reduced data is fuzzified to represent the feature data in a more suitable form for input to a BP network classifier. The BP neural classifier is considered the most popular, effective and easy-to-learn model for complex, multi-layered network. By the experiment research, the hybrid method shows good classification accuracy and short running time, which are better than the results using BP network and neural network with fuzzy input