| 基于梯度和颜色特征的图像垃圾邮件过滤 |
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| 引用本文： | 刘芬,帅建梅.基于梯度和颜色特征的图像垃圾邮件过滤[J].计算机工程,2010,36(16):157-160. |
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| 作者姓名： | 刘芬 帅建梅 |
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| 作者单位： | 中国科学技术大学自动化系,合肥,230027 |
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| 基金项目： | 国家"863"计划基金资助项目 |
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| 摘 要： | 提出以图像的梯度直方图和颜色直方图作为分类特征，分析最小二乘支持向量机(LS-SVM)算法以及该算法与传统SVM算法的区别，比较传统分类算法与LS-SVM算法的分类准确度，将LS-SVM算法用于图像垃圾邮件过滤。实验结果表明，该方法能提高图像垃圾邮件的检测率。
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| 关 键 词： | 图像垃圾邮 最小二乘支持向量机 支持向量机 分类特征 |
Image Spam Filtering Based on Gradient and Color Feature |
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| LIU Fen,SHUAI Jian-mei.Image Spam Filtering Based on Gradient and Color Feature[J].Computer Engineering,2010,36(16):157-160. |
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| Authors: | LIU Fen SHUAI Jian-mei |
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| Affiliation: | (Department of Automation, University of Science and Technology of China, Hefei 230027) |
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| Abstract: | This paper proposes uses gradient histogram and color histogram as classification feature to analyze the difference between Least Square-Support Vector Machine(LS-SVM) algorithm and Support Vector Machine(SVM) algorithm. It compares the LS-SVM algorithm with several traditional algorithms and introduces LS-SVM algorithm into image spam filtering. Experimental results show that the method can improve the detection rate of image spam. |
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| Keywords: | image spam Least Square-Support Vector Machine(LS-SVM) Support Vector Machine(SVM)classification feature |
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