A blackboard infrastructure for object-based image interpretation

The paper presents a blackboard infrastructure for the development of object-based image interpretation applications. The infrastructure is based on an abstract deenition of important concepts in image interpretation: data objects, relationships, algorithms, strategies, and models. Building applications with the environment is eeectuated by specializing the abstract concepts. Using abstract concepts as a basis guarantees a high level of extensibility, exibility, and re-usability.

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