期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2013
卷号：8
期号：5
页码：313-324
出版社：SERSC
摘要：Color information recognition methods based on the RGB color model, which is designed on the basis of static fuzzy inference rules, are being widely used at present. However, these methods have certain limitations because of the nature of the model used: detachment of human vision and limited choice of environment. In this paper, we propose a method based on the HSI model and a new inference process that resembles the human vision recognition process. This method allows the user to add, delete, or update inference rules. In our method, membership intervals are designed with sine and cosine functions in the H channel and trigonometric style functions in the S and I channels. The membership degree is computed via an interval merging process. Then, inference rules are applied to the result in order to infer the color information. Experimental results show that our method is more intuitive and ecient than that based on the RGB model.
关键词：Color Information Recognition; Inference Rules; HSI Model; Membership Intervals
