Paper
24 July 1989 Pc-Based Floating Point Imaging Workstation
C. J. Guzak, R. M. Pier, P. Chinn, Y. Kim
Author Affiliations +
Proceedings Volume 1074, Imaging Workstations; (1989) https://doi.org/10.1117/12.952609
Event: OE/LASE '89, 1989, Los Angeles, CA, United States
Abstract
The medical, military, scientific and industrial communities have come to rely on imaging and computer graphics for solutions to many types of problems. Systems based on imaging technology are used to acquire and process images, and analyze and extract data from images that would otherwise be of little use. Images can be transformed and enhanced to reveal detail and meaning that would go undetected without imaging techniques. The success of imaging has increased the demand for faster and less expensive imaging systems and as these systems become available, more and more applications are discovered and more demands are made. From the designer's perspective the challenge to meet these demands forces him to attack the problem of imaging from a different perspective. The computing demands of imaging algorithms must be balanced against the desire for affordability and flexibility. Systems must be flexible and easy to use, ready for current applications but at the same time anticipating new, unthought of uses. Here at the University of Washington Image Processing Systems Lab (IPSL) we are focusing our attention on imaging and graphics systems that implement imaging algorithms for use in an interactive environment. We have developed a PC-based imaging workstation with the goal to provide powerful and flexible, floating point processing capabilities, along with graphics functions in an affordable package suitable for diverse environments and many applications.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
C. J. Guzak, R. M. Pier, P. Chinn, and Y. Kim "Pc-Based Floating Point Imaging Workstation", Proc. SPIE 1074, Imaging Workstations, (24 July 1989); https://doi.org/10.1117/12.952609
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KEYWORDS
Imaging systems

Image processing

Visualization

Digital signal processing

Computing systems

Video

Surgery

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