FILTER-FEATURE-BASED ROTATION-INVARIANT JOINT FOURIER TRANSFORM CORRELATOR

摘要

Rotation-invariant target detection using a trained filter-feature-based joint Fourier transform (JFT) correlator is investigated. First, a composite reference image is obtained from a training set of targets. An optimum filter formulation is then applied on this composite image to come up with a new feature that we refer teas a filter feature. This feature is then used in a JFT correlator, which results in a simple and robust rotation-invariant target recognition system. (C) 1995 Optical Society of America [References: 19]