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CN 41-1437/TS  ISSN 2096-1553

一种抗剪切攻击和涂抹攻击的纹理识别算法

何冰 ,  袁卫

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何冰, 袁卫. 一种抗剪切攻击和涂抹攻击的纹理识别算法[J]. 轻工学报, 2011, 26(6): 75-79. doi: 10.3969/j.issn.1004-1478.2011.06.020
引用本文: 何冰, 袁卫. 一种抗剪切攻击和涂抹攻击的纹理识别算法[J]. 轻工学报, 2011, 26(6): 75-79. doi: 10.3969/j.issn.1004-1478.2011.06.020
shu
HE Bing and YUAN Wei. A texture recognition algorithm resisting to shearing attack and smearing attack[J]. Journal of Light Industry, 2011, 26(6): 75-79. doi: 10.3969/j.issn.1004-1478.2011.06.020
Citation: HE Bing and YUAN Wei. A texture recognition algorithm resisting to shearing attack and smearing attack[J]. Journal of Light Industry, 2011, 26(6): 75-79. doi: 10.3969/j.issn.1004-1478.2011.06.020
shu

一种抗剪切攻击和涂抹攻击的纹理识别算法

  • 渭南师范学院 物理与电气工程学院, 陕西 渭南 714000

  • 基金项目: 渭南师范学院研究生专项科研项目(09YKZ011)
    渭南师范学院科研计划项目(11YKS015)

  • 中图分类号: TP391

A texture recognition algorithm resisting to shearing attack and smearing attack

  • School of Physics and Electr. Eng., Weinan Teachers Univ., Weinan 714000, China

  • Received Date: 2011-06-02
    Available Online: 2011-11-15

    CLC number: TP391

  • 摘要: 针对目前纹理识别算法对强剪切攻击识别率不高的问题,提出了一种基于非负矩阵分解(NMF)结合不变矩抗剪切攻击和涂抹攻击的纹理识别算法.该算法首先对训练纹理图像样本V进行非负矩阵分解得到基矩阵W分量和系数矩阵H分量,并将其进行存储,同时计算W分量的不变矩作为图像特征向量;对经过剪切的测试样本图像,通过局部未剪切部分V矩阵和相应的H矩阵来恢复W矩阵,然后计算其不变矩作为特征向量;最后用K近邻分类器对提取的特征向量进行分类.通过对50类纹理图像进行分类实验,结果表明:本算法对遭受剪切攻击后的纹理图像具有很强的鲁棒性,识别率可达100%,对于遭受脉冲噪声感染后的纹理图像的识别率也在85%左右.
    Abstract: Aiming at the problem that the existing texture recognition algorithm was insufficient to strong shearing and smearing attack,a novel texture recognition algorithm was proposed by non-negative matrix factorization(NMF) and invariant moments.Firstly,non-negative matrix factorization(NMF) was used to translate the training texture samples matrix V into the base matrix W and the corresponding coefficient matrix H,meanwhile,the corresponding coefficient matrix H was stored.Then,invariant moments of matrix W was calculated as feature vector.For shearing and cropping training samples image,matrix W could be restored by matrix V and corresponding matrix H of the existing non-shearing image.Then,invariant moments of matrix W was calculated as feature vector.Finally,K nearest neighbor classifier was used to classify the extracted feature vector.The experimental results showed that the proposed method has more strong robust for shearing and smearing texture images,and the correct classification results(CCPS) was 100%.Meanwhile,the CCPS was about 85% for texture image attacked by impulse noise.
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  • 收稿日期:  2011-06-02
  • 刊出日期:  2011-11-15
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何冰, 袁卫. 一种抗剪切攻击和涂抹攻击的纹理识别算法[J]. 轻工学报, 2011, 26(6): 75-79. doi: 10.3969/j.issn.1004-1478.2011.06.020
引用本文: 何冰, 袁卫. 一种抗剪切攻击和涂抹攻击的纹理识别算法[J]. 轻工学报, 2011, 26(6): 75-79. doi: 10.3969/j.issn.1004-1478.2011.06.020
shu
HE Bing and YUAN Wei. A texture recognition algorithm resisting to shearing attack and smearing attack[J]. Journal of Light Industry, 2011, 26(6): 75-79. doi: 10.3969/j.issn.1004-1478.2011.06.020
Citation: HE Bing and YUAN Wei. A texture recognition algorithm resisting to shearing attack and smearing attack[J]. Journal of Light Industry, 2011, 26(6): 75-79. doi: 10.3969/j.issn.1004-1478.2011.06.020
shu

一种抗剪切攻击和涂抹攻击的纹理识别算法

  • 渭南师范学院 物理与电气工程学院, 陕西 渭南 714000
  • 收稿日期: 2011-06-02
  • 网络出版日期: 2011-11-15
基金项目:  渭南师范学院研究生专项科研项目(09YKZ011)渭南师范学院科研计划项目(11YKS015)

摘要: 针对目前纹理识别算法对强剪切攻击识别率不高的问题,提出了一种基于非负矩阵分解(NMF)结合不变矩抗剪切攻击和涂抹攻击的纹理识别算法.该算法首先对训练纹理图像样本V进行非负矩阵分解得到基矩阵W分量和系数矩阵H分量,并将其进行存储,同时计算W分量的不变矩作为图像特征向量;对经过剪切的测试样本图像,通过局部未剪切部分V矩阵和相应的H矩阵来恢复W矩阵,然后计算其不变矩作为特征向量;最后用K近邻分类器对提取的特征向量进行分类.通过对50类纹理图像进行分类实验,结果表明:本算法对遭受剪切攻击后的纹理图像具有很强的鲁棒性,识别率可达100%,对于遭受脉冲噪声感染后的纹理图像的识别率也在85%左右.

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