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

Recent works dealing with the development of automatic image processing (IP) systems not 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 and set the value of parameters and form a sequence of classical IP operators.