A Reinforcement-Learning Approach to Color Quantization

C.-H. Chou, M.-C. Su, F. Chang, and E. Lai (Taiwan)

Keywords

color quantization, reinforcement learning, neurofuzzy systems, classifier systems

Abstract

: In this paper, a reinforcement-learning approach is proposed to color image quantization. Fuzzy rules, which select appropriate parameters for the adaptive clustering algorithm applied to color quantization, are built through the reinforcement learning. Experiment examples are tested to demonstrate the performance of the proposed system.

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