• DocumentCode
    2942302
  • Title

    An Extension of Texture Spectrum Using Local Structure and Variance

  • Author

    Sun Junding ; Zhu Shisong ; Wu Xiaosheng

  • Author_Institution
    Provincial Opening Lab. for Control Eng. Key Disciplines, Henan Polytech. Univ., Jiaozuo, China
  • fYear
    2010
  • fDate
    19-21 June 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In order to improve the performance of the region texture spectrum descriptors, an improved operator, called ID-LBP is discussed firstly. Then, three rotation invariant texture descriptors, named CS-LBPV, D-LBPV and ID-LBPV, are proposed in the paper based on local structure and the variance of local image. The new operators characterize the local contrast information into the one-dimensional texture spectrum histogram and they do not need any quantization. The descriptors mentioned in the paper are tested and compared with the traditional methods on two commonly used texture databases and the experimental results show the performance improvement of the new methods in texture image retrieval.
  • Keywords
    image retrieval; image texture; CS-LBPV; D-LBPV; ID- LBP operator; ID-LBPV; local binary pattern variance; region texture spectrum descriptors; rotation invariant texture descriptors; texture databases; texture image retrieval; texture spectrum histogram; Computer science; Control engineering; Histograms; Image databases; Image retrieval; Information retrieval; Laboratories; Pattern analysis; Quantization; Reactive power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Photonics and Optoelectronic (SOPO), 2010 Symposium on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-4963-7
  • Electronic_ISBN
    978-1-4244-4964-4
  • Type

    conf

  • DOI
    10.1109/SOPO.2010.5504465
  • Filename
    5504465