Image segmentation using maximum entropy techniques

An algorithm is described which operates on a digitized television frame or digital infrared image to rapidly locate tightly clustered objects which occupy less than half the field of view and which can be enclosed by rectangles. The algorithm uses a maximum entropy image and projections in place of arbitrary heuristics to guide the location and segmentation process.