1 February 1992 Knowledge representation in a guided globular reasoning framework (Part II)
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Random selection of operands for image understanding systems often requires extensive region modification and (local) object re-selections to achieve success, from comparison of their clues. The deductions and processing required to achieve success are quite time-intensive and degrade the system's performance, significantly. In this paper, a priority scheme is proposed which produces a prioritized set of local objects and their combined (or single) regions, as operands for autonomous taskspecifically interacting systems of an image understanding system.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kamran Reihani, Kamran Reihani, Wiley E. Thompson, Wiley E. Thompson, } "Knowledge representation in a guided globular reasoning framework (Part II)", Proc. SPIE 1607, Intelligent Robots and Computer Vision X: Algorithms and Techniques, (1 February 1992); doi: 10.1117/12.57108; https://doi.org/10.1117/12.57108

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