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Color Analysis with Enhanced Fuzzy Inference Method
Journal of The Korea Society of Computer and Information
Abbr :
JKSCI
2009, 14(8), pp.25-31
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
2009, 14(8), pp.25-31
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
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Widely used color information recognition methods based on the RGB color model with static fuzzy inference rules have limitations due to the model itself - the detachment of human vision and applicability of limited environment. In this paper, we propose a method that is based on HSI model with new inference process that resembles human vision recognition process. Also, a user can add, delete, update the inference rules in this system. In our method, we design membership intervals with sine, cosine function in H channel and with functions in trigonometric style in S and I channel. The membership degree is computed via interval merging process. Then, the inference rules are applied to the result in order to infer the color information. Our method is proven to be more intuitive and efficient compared with RGB model in experiment.
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