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Proceedings Paper

A flexible framework for developing a cooperative intelligent image analysis system
Author(s): Kamal P. Ranaweera; Jagath K. Samarabandu
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Paper Abstract

We present a software framework for developing a flexible image analysis system. This framework provides a uniform interface to develop intelligent image analysis tools as well as infrastructure facilities required by these tools for working cooperatively with other tools. This system first automatically generates a processing plan to accomplish a user defined task, and then executes that plan to produce results. Each processing tool encapsulates an image processing algorithm as well as knowledge about this algorithm. Tools use this knowledge to evaluate their suitability to handle a given task. This approach allows each processing tool the ability of selectively accepting appropriate tasks that belong to its domain. A processing tool is also able to define subtasks, which must be accomplished to refine input data as required by its underlying image processing algorithm. These subtasks can be broadcast among other tools and enlist appropriate individuals to accomplish task goals. Our framework is able to accept image analysis tasks defined using abstract conceptual terms used in application domains, and uses production rules to expand detailed fprms of these terms. This facility allows successfully defining an image analysis task without specifying all low level details. Preliminary results that we obtained from this framework demonstrated the success of our approach.

Paper Details

Date Published: 28 May 2003
PDF: 12 pages
Proc. SPIE 5014, Image Processing: Algorithms and Systems II, (28 May 2003); doi: 10.1117/12.473101
Show Author Affiliations
Kamal P. Ranaweera, Univ. of Western Ontario (Canada)
Jagath K. Samarabandu, Univ. of Western Ontario (Canada)


Published in SPIE Proceedings Vol. 5014:
Image Processing: Algorithms and Systems II
Edward R. Dougherty; Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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