A Q-Learning Approach to Decision Problems in Image Processing

Alexandru Gherega, Radu Udrea, Monica Rădulescu
Decision making in a sequential and uncertain manner is still one of the major problems that all computer science research fields relate to, either by trying to find the optimal solution for it or needing such a solution to obtain optimal results for some other stated problem. This paper's objective is to address the possibility of using reinforcement learning for decision problems in data processing environments. A short review of current uses for reinforcement learning solutions into
more » ... tions into different fields is depicted as well as a particular case in image processing methods. A solution is proposed for a specific decision problem in the field of image processing. Our implementation shows the results of a reinforced parameterization method for edge detection using Q-Learning.