The concept of a statistical filter for objects that comprise several regions is introduced. The process is optimal in the presence of nonoverlapping noise for the target and may perform independently of variations in the mean value in every region. The basic performance of the filter is described, and a comparison with other types of processing is made.
© 2001 Optical Society of America
Javier García, Vincent Pagé, and Philippe Réfrégier, "Detection of multiregion objects embedded in nonoverlapping noise," Opt. Lett. 26, 1394-1396 (2001)