| 基于场论聚类的集成分类器隐写分析算法 |
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| 作者姓名： | 鲜研 |
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| 作者单位： | 武警工程大学电子技术系网络与信息安全武警部队重点实验室 陕西西安710086 |
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| 摘 要： | 针对目前隐写分析中特征空间有待提高的问题,提出一种基于场论聚类的隐写分析算法。算法提取共生矩阵特征、差分特征等多维特征用以描述图像,再利用场论进行聚类,从中选择代表性特征用以训练个体分类器,最后通个加权融合法完成对个体分类器进行集成。实验表明,该算法能够有效提高隐写分析的检测率。
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| 关 键 词： | 图像隐写分析 场论 聚类 加权融合 集成分类器 |
Steganalysis based on Field Theory and Ensemble Classifiers |
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| Authors: | Xian Yan |
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| Affiliation: | Xian Yan (Key Laboratory of Network and Information Security Under the Chinese Armed Police Force, Electronic Department Engineering College of Armed Police Force ShaanxiXi＇an 710086) |
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| Abstract: | To improve the accuracy in steganalysis, this paper proposed a steganalysis based on field theory and ensemble classifiers.It adopts algorithms of clusterng based on field theory to train single classifiers with excellent diversity. Then it put forward improved feature weighted ensemble classifiers as a new classification to enhance the examination rate. The superiority of this algorithm in classification performance e is established extensively through experiment. |
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| Keywords: | jpeg steganalysis field theory clustering feature weighting ensemble classfiers |
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