• DocumentCode
    3164351
  • Title

    Digital image similarity metrics and their performances

  • Author

    Tan, Huashan ; Yu, Ping ; Li, Xiaohong ; Yang, You

  • Author_Institution
    Comput. & Inf. Sci. Dept., Chongqing Normal Univ., Chongqing, China
  • fYear
    2011
  • fDate
    8-10 Aug. 2011
  • Firstpage
    3922
  • Lastpage
    3925
  • Abstract
    Different image has different characteristic attributes. And the similarity between images is the measure distance of these characteristic attributes. Three kinds of similarity metric models, which are the models based on histogram statistic, based on pixels and based on the differences between pixels, were described. Then the performances of these three kind models have been analyzed from various applications. Finally, the disadvantages and some improvements of these metric models have been pointed out.
  • Keywords
    image processing; statistical analysis; digital image similarity metrics; histogram statistic; similarity metric model; Complexity theory; Feature extraction; Histograms; Image retrieval; Lighting; Measurement; digital image; distance; metric; similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
  • Conference_Location
    Deng Leng
  • Print_ISBN
    978-1-4577-0535-9
  • Type

    conf

  • DOI
    10.1109/AIMSEC.2011.6010108
  • Filename
    6010108