Progress in the field of image understanding is partly hindered by the gap between numerical and symbolic processing, both of which are required. Image processing algorithms are best expressed by procedural programming languages, such as C or FORTRAN, while "understanding" is perhaps better addressed by functional languages, such as LISP. Image understanding involves both processing and analysis of images, thus including numeric and symbolic computation. Hence the need for both programming paradigms. This paper describes the development of a new vision workstation - a tool that combines numeric (in C) and symbolic (in LISP) programs in one package. The system described is based on an IBM Personal Computer AT. It provides a low-cost solution to computer vision educational needs. A more powerful implementation, based on an IBM RT/PC, is currently under development.
"A Lisp-Based PC Vision Workstation", Proc. SPIE 0758, Image Understanding and the Man-Machine Interface, (6 June 1987); doi: 10.1117/12.940078; https://doi.org/10.1117/12.940078