Abstract

Invariant moments can be used to describe the basic characteristics of visual pattern.¹ Thus they can be employed as a criterion in measuring the performance of different neural networks. Numerical analysis of the convergence of several neural network models based on invariant moment measurement has been conducted. Moment invariant image descriptors are used to develop a shift, scale, and rotation invariant neural network.

© 1989 Optical Society of America