Robust Color Classification Using Fuzzy Rule-Based Particle Swarm Optimization

@article{Kashanipour2008RobustCC,
  title={Robust Color Classification Using Fuzzy Rule-Based Particle Swarm Optimization},
  author={Alireza Kashanipour and Nargess Shamshiri Milani and Amir Reza Kashanipour and Hadi Haji Eghrary},
  journal={2008 Congress on Image and Signal Processing},
  year={2008},
  volume={2},
  pages={110-114}
}
In this paper we present a novel approach for color classification in which an evolutionary algorithm optimizes a fuzzy system with least number of rules and minimum error rate by meaning of Particle Swarm Optimization (PSO) method. The aim of this work is to retrieve images according to their dominant(s) color(s) expressed through linguistic expressions, and implementation through a vision system. Fuzzy sets are defined on the H, S and L components of the HSL Color Space to provide a fuzzy… 

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