• DocumentCode
    2363550
  • Title

    Efficient design of Local Binary Pattern for image retrieval

  • Author

    Sadat, Rafi Md Najmus ; Rakib, Abdur ; Salehin, Md Musfequs ; Afrin, Naurin

  • fYear
    2011
  • fDate
    20-23 March 2011
  • Firstpage
    510
  • Lastpage
    514
  • Abstract
    A novel image description method named Half-LBP has been proposed in this paper for image retrieval applications. Half-LBP transforms the relationship among the intensity levels of image local pixel blocks into a binary pattern in such a way that reduces the dimension of the descriptor significantly while keeping the retrieval accuracy comparable with the state of art methods. The basic operation is quite similar to the texture operator named Local Binary Pattern (LBP). However, the dimension of the LBP method and its variants are too high and take substantial amount of time to retrieve the images. To address this issue, Half-LBP image descriptor has been proposed which takes comparatively less time to find out the matched images from the database.
  • Keywords
    image matching; image resolution; image retrieval; visual databases; Half-LBP image descriptor; Half-LBP transforms; image databases; image description method; image local pixel blocks; image matching; image retrieval; local binary pattern; Accuracy; Binary codes; Histograms; Image retrieval; Pixel; Training; Classification; Image retrieval; Local Binary Pattern;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers & Informatics (ISCI), 2011 IEEE Symposium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-61284-689-7
  • Type

    conf

  • DOI
    10.1109/ISCI.2011.5958968
  • Filename
    5958968