Resolution of image processing problems by dynamic planning within the framework of the blackboard model

Régis Clouard 1 Christine Porquet 1 Abderrahim Elmoataz 1 Marinette Revenu 1
1 Equipe Image - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
Abstract : Recent works dealing with the development of automatic Image Processing (IP) systems non-dedicated to any specific application are all based on the search of a plan of treatments adapted to the nature of the problem and the images, among a base of predefined plans. In our approach on the contrary, we are interested in solving IP problems by building plans of treatment in a dynamic way and to use explicit knowledge for reasoning. Our system hinges upon hierarchical, incremental and opportunistic planning within the blackboard architecture. The system reasoning makes use of explicit knowledge about expertise in IP, in order to find out, set the value of parameters and form a sequence of classical IP operators.
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Communication dans un congrès
SPIE Int. Symposium : Intelligent Robot and Computer Vision XII : Algorithms and Techniques, 1993, Boston, United States. 2056, pp.419-429, 1993
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Régis Clouard, Christine Porquet, Abderrahim Elmoataz, Marinette Revenu. Resolution of image processing problems by dynamic planning within the framework of the blackboard model. SPIE Int. Symposium : Intelligent Robot and Computer Vision XII : Algorithms and Techniques, 1993, Boston, United States. 2056, pp.419-429, 1993. 〈hal-00960307〉

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