Design problem solving: a task analysis
AI Magazine
Control and explanation in a signal understanding environment
Signal Processing - Intelligent systems for signal and image understanding
Introduction to knowledge systems
Introduction to knowledge systems
Reusable Components for Knowledge Modelling: Case Studies in Parametric Design Problem Solving
Reusable Components for Knowledge Modelling: Case Studies in Parametric Design Problem Solving
SIGMA: A Knowledge-Based Aerial Image Understanding System
SIGMA: A Knowledge-Based Aerial Image Understanding System
Composition of Image Analysis Processes Through Object-Centered Hierarchical Planning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Configuration-Design Problem Solving
IEEE Expert: Intelligent Systems and Their Applications
A Two Layer Case-Based Reasoning Architecture for Medical Image Understanding
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
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In this paper we analyse the problem of image understanding at the knowledge level. We treat the problem as a design task and define a generic problem solving method (PSM) which allows us to tackle the task in a hierarchical and recursive way with subsumption. The main advantage of this generic PSM is the possibility to instantiate specific PSMs through parameter space configuration, which makes it possible to reuse this structure both in the task decomposition at different hierarchical levels and in different applications. This generic PSM was implemented following the well established foundations of Knowledge Engineering which prescribe the maintenance of the conceptual structure from the modeling stage at the knowledge level down to the particular implementation. Finally, we apply the proposed framework to the problem of optic nerve head identification in eye fundus images and particular results are presented.