• DocumentCode
    1982763
  • Title

    Research on Case Representation Method Based on Image Information

  • Author

    Li Hongru ; He Xiaochen ; Zhao Yubin

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • Volume
    1
  • fYear
    2013
  • fDate
    28-29 Oct. 2013
  • Firstpage
    128
  • Lastpage
    131
  • Abstract
    According to the fact that it´s more likely to consider the image as the field of knowledge, and the image has the features of intuitivism, ample content, no language limited and convenient for communicating internationally, this article use the case-based reasoning method to decrease the difficulty of obtaining the knowledge, and then propose the case representation method based on image information. We have studied the RGB color model and HSV color model, and then discuss the conversion formula between them. What´s more, we have studied the method of extracting the image color characteristics as image case attributes´ description, make a model of image case, and then make a case representation on the forest fire early warning image.
  • Keywords
    case-based reasoning; feature extraction; fires; image colour analysis; image representation; CBR conversion formula; HSV color model; RGB color model; case representation method; case-based reasoning method; forest fire early warning image; image case attribute description; image color characteristic extraction; image information; Cognition; Color; Computational modeling; Feature extraction; Fires; Histograms; Image color analysis; CBR; Case Representation; Image Information; Image Processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/ISCID.2013.39
  • Filename
    6804803