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Knowledge based interpretation of images: a biomedical perspective

Published online by Cambridge University Press:  07 July 2009

Nicholas Walker  and
John Fox
Nicholas Walker
Affiliation:
Imperial Cancer Research Fund Laboratories, 44 Lincoln's Inn Fields, London, WC2A 3PX, UK
John Fox
Affiliation:
Imperial Cancer Research Fund Laboratories, 44 Lincoln's Inn Fields, London, WC2A 3PX, UK
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Abstract

The traditions of image processing and knowledge engineering have developed separately. Work on AI vision systems lies between the two traditions but only recently has attention been given to combining practical imaging systems with methods for exploiting knowledge in interpreting the contents of an image. Five general approaches to combining knowledge based expert systems with imaging technologies are discussed. Particular attention is paid to the requirement for techniques which transform a pixel array into a symbolic form suitable for interpretation, and current obstacles to a general solution. Interpretation of biomedical images is particularly problematic because of statistical, structural and temporal variation in morphology of objects and structures. Some ways in which knowledge of shape, structure, and object classifications may contribute to this interpretation are discussed. The survey focuses on biomedical images but many of the issues are of general relevance to work in image understanding.

Information

Type
Research Article
Information
The Knowledge Engineering Review , Volume 2 , Issue 4 , December 1987 , pp. 249 - 264
Copyright
Copyright © Cambridge University Press 1987

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