Automatic fault recognition by image correlation neural network techniques

The image correlation technique, a useful method for online inspection for quality production control, is discussed. A Cauchy machine determines the imperfection by the degree of orthogonality between the automated extracted feature from the send-through image and the class feature of early good samples. The performance measure used for such an automatic feature extraction is based on a certain minimax cost function useful for image classification. Such an inspection theory based on image sequences is simulated by incorporating space-filling Peano curves, fast simulated Cauchy annealing, and minimax classification performance measures. An artificial neural network (ANN) is discussed as a possible implementation.>