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Proceedings Paper

A knowledge-capturing approach for a cooperative intelligent image analysis system
Author(s): Kamal P. Ranaweera; Jagath K. Samarabandu
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Paper Abstract

We present a generalized approach to dynamically incorporate high level knowledge into a cooperative intelligent image analysis framework. We developed this framework in our laboratory to provide a uniform interface to develop intelligent image analysis tools as well as to provide infrastructure facilities required by these tools in order to work cooperatively for accomplishing complex image analysis task goals. This framework is able to automatically generate processing plans which accomplish user defined image analysis task goals. The approach that we propose in this paper provides a flexible interface to develop the expertise of `image processing' tools. We provide two ways to develop this knowledge: 1) by taking feedback from an image processing expert about processing plans generated by the system; and 2) by accepting a processing plan which accomplishes a particular task from an expert user, and then extracting the high level knowledge encapsulated in this plan. The generalized nature of our approach allows each individual tool to use machine learning algorithms of its own interest in improving the knowledge-base. Preliminary results that we obtained from this work demonstrates the success of our approach.

Paper Details

Date Published: 28 May 2004
PDF: 10 pages
Proc. SPIE 5298, Image Processing: Algorithms and Systems III, (28 May 2004); doi: 10.1117/12.525865
Show Author Affiliations
Kamal P. Ranaweera, Univ. of Western Ontario (Canada)
Jagath K. Samarabandu, Univ. of Western Ontario (Canada)

Published in SPIE Proceedings Vol. 5298:
Image Processing: Algorithms and Systems III
Edward R. Dougherty; Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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