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30 October 2009 Detection of sensitive images based on affinity propagation clustering
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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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
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