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Proceedings Paper

Detection of sensitive images based on affinity propagation clustering
Author(s): Maofu Liu; Wenhao Liang; Li Chen
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Paper 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.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749537 (30 October 2009); doi: 10.1117/12.832756
Show Author Affiliations
Maofu Liu, Wuhan Univ. of Science and Technology (China)
Wenhao Liang, Wuhan Univ. of Science and Technology (China)
Li Chen, Wuhan Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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