• DocumentCode
    1997988
  • Title

    An improved edge direction histogram and edge orientation auto corrlogram for an efficient color image retrieval

  • Author

    Seetharaman, K. ; Sathiamoorthy, S.

  • Author_Institution
    Dept. of Comp. Sci. & Eng., Annamalai Univ., Annamalai Nagar, India
  • fYear
    2013
  • fDate
    19-21 Dec. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper advances the edge histogram descriptor (EHD) of MPEG-7 standards and the edge orientation autocorrlogram (EOAC) by using the Full Range Autoregressive model (FRAR) with Bayesian approach. The model is applied in the HSV color space for extracting the edges. The proposed method preserves the chromatic information and the edges that are loosed by the spectral variations. The extracted edges are used to construct the EHD and EOAC. The proposed EHD and EOAC are extensively tested with the various image databases. Precision and recall method is used to measure the accuracy of the proposed method. The results evident that the proposed method outperforms the existing methods.
  • Keywords
    Bayes methods; autoregressive processes; content-based retrieval; feature extraction; image colour analysis; image retrieval; Bayesian approach; EHD; EOAC; FRAR; HSV color space; MPEG-7 standard; chromatic information; color image retrieval; edge direction histogram; edge extraction; edge histogram descriptor; edge orientation autocorrelogram; full range autoregressive model; precision-and-recall method; spectral variation; Feature extraction; Image color analysis; Image edge detection; Image retrieval; Mathematical model; Shape; Edge direction histogram; Edge orientation autocorrlogram; Full Range Autoregressive model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computing and Communication Systems (ICACCS), 2013 International Conference on
  • Conference_Location
    Coimbatore
  • Type

    conf

  • DOI
    10.1109/ICACCS.2013.6938725
  • Filename
    6938725