Expert systems for image processing: knowledge-based composition of image analysis processes
Computer Vision, Graphics, and Image Processing
A knowledge-based approach to integration of image processing procedures
CVGIP: Image Understanding
Using artificial intelligence planning to automate SAR image processing for scientific data analysis
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Borg: A Knowledge-Based System for Automatic Generation of Image Processing Programs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Experience in Integrating Image Processing Programs
ICVS '99 Proceedings of the First International Conference on Computer Vision Systems
Automatically Composed Workflows for Grid Environments
IEEE Intelligent Systems
Assisting Data Mining through Automated Planning
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
A modular approach for automating video analysis
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Planning to see: A hierarchical approach to planning visual actions on a robot using POMDPs
Artificial Intelligence
Human-computer interaction for the generation of image processing applications
International Journal of Human-Computer Studies
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This article describes the Multimission VICAR Planner (MVP): an AI planning system which uses knowledge about image processing steps and their requirements to construct executable image processing scripts to support high-level science requests made to the Jet Propulsion Laboratory (JPL) Multimission Image Processing Subsystem (MIPS). This article describes a general AI planning approach to automation and application of the approach to a specific area of image processing for planetary science applications involving radiometric correction, color triplet reconstruction, and mosaicing in which the MVP system significantly reduces the amount of effort required by image processing experts to fill a typical request.