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To know which operators to apply and in which order, as well as attributinggood values to their parameters is a challenge for users of computer vision.This paper proposes a solution to this problem as a multi-agent system modeledaccording to the Vowel approach and using the Q-learning algorithm to optimizeits choice. An implementation is given to test and validate this method.

Q-learning optimization in a multi-agents system for image segmentation