Resolution-limited statistical image classification
Marek Elbaum, Mark Syrkin · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1993
We have examined the performance of a one-layer Perceptron for the detection and classification of small (resolution-limited) targets from their images, which are stochastic realizations of random processes. The processes are governed by non-Gaussian, non-white distributions. Our results show the potential of the Perceptron classifier as an Ideal Observer and suggest image detection and classification problems for which neural networks may be more reliable than human observers.