<title>Scale- and translation-invariant detection of targets varying in fine details</title>

Abstract

We propose an enabling algorithm for automatic target detection wherein the targets are almost similar but differ in fine details. The translated and scaled target images are processed in Mellin transform domain and subsequently detected using a learning vector quantization (LVQ) neural network.