JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 26 Issue 6
November 2011
Article Contents
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

A texture recognition algorithm resisting to shearing attack and smearing attack

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