Detection of sensitive images based on affinity propagation clustering

Maofu Liu; Wenhao Liang; Li Chen

doi:10.1117/12.832756

30 October 2009 Detection of sensitive images based on affinity propagation clustering

Maofu Liu, Wenhao Liang, Li Chen

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 749537 (2009) https://doi.org/10.1117/12.832756
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

In order to detect sensitive images, a content-based detection method using image retrieval technology is proposed in this paper. The method utilizes color correlogram and Gabor wavelet transformation to extract color and texture features, and then employs integrated similarity approach to calculate similarity and affinity propagation clustering algorithm to group the images in image database. In the end, the image is detected by the content-based image retrieval. Experiment results show that the proposed method is better in detection accuracy ratio and retrieval efficiency than the traditional method and using K-means clustering for image database.

Citation Download Citation

Maofu Liu, Wenhao Liang, and Li Chen "Detection of sensitive images based on affinity propagation clustering", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749537 (30 October 2009); https://doi.org/10.1117/12.832756

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available