Paper
28 May 2003 A flexible framework for developing a cooperative intelligent image analysis system
Kamal P. Ranaweera, Jagath K. Samarabandu
Author Affiliations +
Proceedings Volume 5014, Image Processing: Algorithms and Systems II; (2003) https://doi.org/10.1117/12.473101
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kamal P. Ranaweera and Jagath K. Samarabandu "A flexible framework for developing a cooperative intelligent image analysis system", Proc. SPIE 5014, Image Processing: Algorithms and Systems II, (28 May 2003); https://doi.org/10.1117/12.473101
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image processing

Image analysis

Human-machine interfaces

Target detection

Gaussian filters

Image segmentation

Image filtering

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