• DocumentCode
    3285292
  • Title

    New local edge binary patterns for image retrieval

  • Author

    Junding Sun ; Guoliang Fan ; Xiaosheng Wu

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China
  • fYear
    2013
  • fDate
    15-18 Sept. 2013
  • Firstpage
    4014
  • Lastpage
    4018
  • Abstract
    A new method, called local edge binary patterns (LEBP), is introduced in the paper, which takes the advantages of local binary patterns and local edges into account. Furthermore, several extensions to LEBP are also discussed in detail. Center-symmetric local binary pattern (CS-LBP) and direction local binary pattern (D-LBP) are chosen as examples to prove the performance of the new method on two commonly used texture databases. Experimental results show that LEBP can greatly improve the performance of the traditional local binary patterns in texture image retrieval.
  • Keywords
    image retrieval; image texture; CS-LBP; D-LBP; LEBP method; center-symmetric local binary pattern; direction local binary pattern; local edge binary patterns; texture databases; texture image retrieval; CS-LBP; D-LBP; LEBP; image retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2013 20th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • DOI
    10.1109/ICIP.2013.6738827
  • Filename
    6738827