Paper
1 February 1992 Knowledge representation in a guided globular reasoning framework (Part II)
Kamran Reihani, Wiley E. Thompson
Author Affiliations +
Abstract
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 and 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); https://doi.org/10.1117/12.57108
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Cited by 1 scholarly publication.
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KEYWORDS
Image segmentation

Eye

Image understanding

Computer vision technology

Machine vision

Computing systems

Head

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