Control strategies for error handling in a knowledge-based system for image processing and recognition

D. Agazzani; S. Cerini; Sebastiano Bruno Serpico; Gianni L. Vernazza

doi:10.1117/12.21050

1 January 1990 Control strategies for error handling in a knowledge-based system for image processing and recognition

D. Agazzani, S. Cerini, Sebastiano Bruno Serpico, Gianni L. Vernazza

Proceedings Volume 1293, Applications of Artificial Intelligence VIII; (1990) https://doi.org/10.1117/12.21050
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

Abstract

In the last few years, knowledge-based systems devoted to image understanding have proved very interesting applications of artificial intelligence to real-life domains. Purpose of this paper is to present the control strategies and knowledge representation for supporting backtracking techniques for error handling in this kind of system. Since neither low-level image processing nor high-level interpretation can be completely free from errors, the capability of detecting and correcting errors is of main importance to obtain high performances and reliability. Some examples of errors at both levels are considered and the mechanism to solve them is proposed. Experimental results in a medical application are presented and discussed.

Citation Download Citation

D. Agazzani, S. Cerini, Sebastiano Bruno Serpico, and Gianni L. Vernazza "Control strategies for error handling in a knowledge-based system for image processing and recognition", Proc. SPIE 1293, Applications of Artificial Intelligence VIII, (1 January 1990); https://doi.org/10.1117/12.21050

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