Abstract
This paper introduces some widely used techniques related to nude image detection. By analyzing the merits and drawbacks of these techniques, a new nude image detection method is proposed. The proposed approach consists of two parts: the content-based approach, which aims to detect the nude image by analyzing whether it contains large mass of skin region, and the image-based approach, which extracts the color and spatial information of the image using the color histogram vector and color coherence vector, and makes classification based on the CHV and CCVs of the training samples. From the experimental results, our algorithm can achieve a classification accuracy of 85% with less than 10% false detection rate.
This paper was supported by National 863 Hi-Tech project fund (Contract no. 2003AA162160) and the National Nature Science Foundation of China (Grant no. 60402019).
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© 2005 Springer-Verlag Berlin Heidelberg
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Wang, Sl., Hui, H., Li, Sh., Zhang, H., Shi, Yy., Qu, Wt. (2005). Exploring Content-Based and Image-Based Features for Nude Image Detection. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11540007_40
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DOI: https://doi.org/10.1007/11540007_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28331-7
Online ISBN: 978-3-540-31828-6
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