A versatile development tool for knowledge-based computer vision

Knowledge-based computer vision creates a large variety of different design tasks including low-level image processing tasks, components for symbol manipulation, and complex cognitive processes. The diversity of requirements of these tasks calls for radically new concepts in terms of hardware and software structures. Classical design tools, such as image processing systems, support only small portions of this large task set. In this paper we report on an interactive and homogeneous software environment termed the Vision Kernel System (VKS) that aims at supporting the entire spectrum of problems encountered in knowledge-based computer vision.