中文摘要：

这份报纸基于聚类把stego图象与盖子灰度图象区分开来的分数维的压缩和亲密关系繁殖( AP )论述一个通用计划(也叫的盲目计划)，它是在 steganalysis.Since 分数维图形代码的一个很挑战性的问题代表自然图象的自我类似特征，我们首先作为图象 features.We 采用分数维的代码的统计时刻造一个图象集合有或没有隐藏的消息，和 th 存储自然图象的统计特征

英文摘要：

This paper presents a universal scheme （also called blind scheme） based on fractal compression and affinity propagation （AP） clustering to distinguish stego-images from cover grayscale images, which is a very challenging problem in steganalysis. Since fractal codes represent the ＂self-similarity＂ features of natural images, we adopt the statistical moment of fractal codes as the image features. We first build an image set to store the statistical features without hidden messages, of natural images with and and then apply the AP clustering technique to group this set. The experimental result shows that the proposed scheme performs better than Fridrich＇s traditional method.