Advances in workstation technology have researchers spending less time building and computing their data sets, and more time experimenting with them. Conventional computer workstations allow researchers to interactively modify images and other data, while the results of these changes are graphically rendered. Software developers are finding it necessary to redesign their applications to be more modular and interactive, taking advantage of the changes in workstation performance and architecture. In an effort to provide some of the tools necessary to assist this software effort, the University of Lowell's Center for Productivity Enhancement has developed an object oriented image processing environment. The Imaging Kernel System (IKS) is a comprehensive environment for image processing and analysis. It is viewed here as one module in an object oriented visualization environment designed to utilize the capabilities of today's visual workstation.
"Object Oriented Imaging For Visual Workstation Environments", Proc. SPIE 1074, Imaging Workstations, (24 July 1989); doi: 10.1117/12.952595; https://doi.org/10.1117/12.952595