Induction of inference rules for expert systems
Fuzzy Sets and Systems - Special issue: Dedicated to the memory of Richard E. Bellman
Use of psychometric tools for knowledge acquistion: a case study
Artificial intelligence and statistics
The P300: a system for automatic patterned wafer inspection
Machine Vision and Applications
Methodology for automatic image-based inspection of industrial objects
Advances in Machine Vision
Recent progress in ACQUINAS: a knowledge acquisition workbench
Knowledge Acquisition
A taxonomy for texture description and identification
A taxonomy for texture description and identification
An Approach to Knowledge Acquisition Based on the Structure of Personal Construct Systems
IEEE Transactions on Knowledge and Data Engineering
SSPR '96 Proceedings of the 6th International Workshop on Advances in Structural and Syntactical Pattern Recognition
Introduction to MPEG-7: Multimedia Content Description Interface
Introduction to MPEG-7: Multimedia Content Description Interface
Increasing dialogue efficiency in case-based reasoning without loss of solution quality
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Human-computer interaction for the generation of image processing applications
International Journal of Human-Computer Studies
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The definition of ontology for visual tasks is often very tricky, since humans are usually not so good at expressing visual knowledge. There is a gap between showing and naming. The knowledge of expressing visual experience is often not trained. Therefore, a methodology is needed of how to acquire and express visual knowledge. This methodology should become a standard for visual tasks, independent of the technical or medical discipline. In this paper we describe the problems with visual knowledge acquisition and discuss corresponding techniques. For visual classification tasks, such as a technical defect classification or a medical object classification, we propose a tool based on the repertory grid method and image-processing methods that can teach a human the vocabulary and the relationship between the objects. This knowledge will form the ontology for a visual inspection task.