• DocumentCode
    2706785
  • Title

    Identification of artifacts in scenery images using color and line information by RBF network

  • Author

    Kosaka, Ryo ; Osana, Yuko

  • Author_Institution
    Tokyo Univ. of Technol., Hachioji, Japan
  • fYear
    2009
  • fDate
    14-19 June 2009
  • Firstpage
    1649
  • Lastpage
    1654
  • Abstract
    In this paper, we propose the identification method of artifacts in scenery images using color and line information by radial basis function (RBF) network. In the proposed method, the original image is divided into some areas based on color information, and whether or not artifacts are included for each divided area are judged using color and line information by the RBF network. We carried out a series of computer experiments and confirmed that the proposed method can identify the area including artifacts with considerable accuracy.
  • Keywords
    image colour analysis; image retrieval; learning (artificial intelligence); radial basis function networks; RBF network training; color information; line information; radial basis function network training; scenery image artifact identification; similarity-based image retrieval; Associative memory; Chaos; Image retrieval; Information processing; Information retrieval; Neural networks; Neurons; Radial basis function networks; Rivers; Snow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2009. IJCNN 2009. International Joint Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-3548-7
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2009.5178642
  • Filename
    5178642