<title>New Approach To Forward-Looking Infrared (FLIR) Segmentation</title>

Abstract

An approach to the analysis of shape extraction (segmentation) operators is presented based on maximum likelihood parameter estimation. A simple image model is presented and objective measures of segmentation quality are presented. Bounds on the noise performance of any segmentation operator are derived and these are compared with experimental results obtained on sample images.