Research on automatic classification technology of web image based on fuzzy pattern recognition

Authors:
Yi Xie;Xun Wang
Affiliations:
Institute of computer and information engineering, Zhejiang Gongshang University, Hangzhou, China;Institute of computer and information engineering, Zhejiang Gongshang University, Hangzhou, China
Venue:
MUSP'06 Proceedings of the 6th WSEAS international conference on Multimedia systems & signal processing
Year:
2006

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Abstract

The automatic classification technology of web image is important for control the web content. For handy image classification, it is difficult to satisfy people's demands because of the period, fee and effect. This paper presents a kind of web image automatic classification based on fuzzy pattern recognition, HSV color space and complexion model. The membership function is obtained to extract complexion characteristics firstly, and then the classification determinant rule of sexy image is given. The experiment results show the classification algorithm is effective for severity sexy image and attains anticipated target. This algorithm improved the currency character of classification algorithm because the hypothesis of classification model is a little.