Digital scene matching algorithms have been used in both military and commercial image processing systems for years. The trend toward using multiple sensors in military imaging systems has generated anew interest in real time techniques to accomplish sensor fusion tasks such as field of view alignment. This thesis analyzes methods presently in use and introduces a novel algorithm that improves scene correlation performance. The focus of the new technique is in the segmentation area, where significant features are extracted from background and clutter. These performance improvements are especially helpful when the scene contains excessive noise and or lacks detail, a trouble spot for standard correlation systems. The restrictions imposed on the system design include implementations possible for real time processing and a minimum of hardware and power consumption. Simulations of the algorithms programmed for an image processing board by an IBM personal computer are discussed.
Myler, Harley R.
Master of Science (M.S.)
College of Engineering
Written permission granted by copyright holder to the University of Central Florida Libraries to digitize and distribute for nonprofit, educational purposes.
Length of Campus-only Access
Masters Thesis (Open Access)
Dissertations, Academic -- Engineering; Engineering -- Dissertations, Academic
Vogt, Paul E., "An adaptive multi-scene correlation algorithm" (1988). Retrospective Theses and Dissertations. 4353.