Recogniton of a Target under Non-Uniform Illumination and Noisy Conditions

Abstract

We propose a new design to detect a target degraded by non-uniform illumination function and additive noise placed in non-overlapping background noise. The method is based on estimated illumination function and Wiener filtering theory, which provides robustness to non-uniform illumination and noisy conditions, especially for non-overlapping background noise. Computer simulation results are presented to verify the performance of the method.