Paper
24 July 2000 Real-time color fusion of E/O sensors with PC-based COTS hardware
J. Grant Howard, Penny R. Warren, Richard Klien, Jonathon M. Schuler, Michael P. Satyshur, Dean A. Scribner, Melvin R. Kruer
Author Affiliations +
Abstract
Increases in the power of personal computers and the availability of infrared focal plane array cameras allows new options in the development of real-time color fusion system for human visualization. This paper describes on-going development of an inexpensive, real-time PC=based infrared color visualization system. The hardware used in the system is all COTS, making it relatively inexpensive to maintain and modify. It consists of a dual Pentium II PC, with fast digital storage and up to five PCI frame-grabber cards. The frame-grabbers cards allow data to be selected from RS-170 (analog) or RS-422 (digital) cameras. Software allows the system configuration to be changed on the fly, so cameras can be swapped at will and new cameras can be added to the system in a matter of minutes. The software running on the system reads up to five separate images from the frame-grabber cards. These images are then digitally registered using a rubber-sheeting algorithm to reshape and shift the images. The registered data, from two or three cameras, is then processed by the selected fusion algorithm to produce a color-fused image, which is then displayed in real-time. The real-time capability of this system allows interactive laboratory testing of issues such as band selection, fusion algorithm optimization, and visualization trade-offs.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. Grant Howard, Penny R. Warren, Richard Klien, Jonathon M. Schuler, Michael P. Satyshur, Dean A. Scribner, and Melvin R. Kruer "Real-time color fusion of E/O sensors with PC-based COTS hardware", Proc. SPIE 4029, Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process, (24 July 2000); https://doi.org/10.1117/12.392554
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CITATIONS
Cited by 10 scholarly publications and 1 patent.
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KEYWORDS
Cameras

Image fusion

Image registration

Imaging systems

Image processing

Frame grabbers

Visualization

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