Multiobject detection of targets with fine details, scale and translation variations

Abstract

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