We present an image interpretation system using fuzzy belief measures. This system is based on a symbolic object-oriented image interpretation system (SOO-PIN) we developed previously. In many image analysis and understanding applications, objects can only be described vaguely. Using fuzzy belief measures and linguistic hedges we are able to manage uncertainty properly. Furthermore, this enables us to develop an image understanding system that produces a natural linguistic presentation and provides a user-friendly environment. We demonstrate the effectiveness of our system with a complex traffic scene.
Fuzzy belief and scene interpretation
1995-01-01
610328 byte
Conference paper
Electronic Resource
English
Fuzzy Belief and Scene Interpretation
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