Issue No. 02 - February (1999 vol. 21)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.748822
<p><b>Abstract</b>—This article deals with the design of a system that automates the generation of image processing applications. Users describe tasks to perform on images and the system constructs a specific plan, which, after being executed, should yield the desired results. Our approach of this problem belongs to the more general category of systems for the supervision of a library of operators. The generation of an application is here considered as the dynamic building of chains of image processing through the selection, parameter tuning and scheduling of existing operators. To develop such a system, we suggest to use a knowledge-rich resolution model and to integrate seven design rules. The Borg system has been developed following these prescriptions. It hinges on hierarchical, opportunistic and incremental planning by means of knowledge sources of the Blackboard model, which enable to take into account planning, evaluation and knowledge acquisition issues.</p>
Image processing, artificial intelligence, knowledge-based systems, composition of image processing programs, supervision of a library of programs.
Christine Porquet, Abderrahim Elmoataz, Marinette Revenu, Regis Clouard, "Borg: A Knowledge-Based System for Automatic Generation of Image Processing Programs", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 21, no. , pp. 128-144, February 1999, doi:10.1109/34.748822