• DocumentCode
    1668254
  • Title

    Ghost removal method for image morphing using co-occurrence frequency image

  • Author

    Nagasaka, Y. ; Fujiwara, Toshihito ; Funahashi, Takuma ; Koshimizu, Hiroyasu

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Chukyo Univ., Toyota, Japan
  • fYear
    2013
  • Firstpage
    213
  • Lastpage
    219
  • Abstract
    Many image morphing methods require feature points meaning correspondence points between the input images by the hand. If user does not add feature points in detail, a noise called “ghost” appears in the output image. We propose a ghost removal method which extracts detailed feature points to modify a texture correspondence. The proposed method can remove the ghost at the textures having different gray values between the images.
  • Keywords
    feature extraction; image colour analysis; image denoising; image morphing; image texture; cooccurrence frequency image; correspondence points; feature points extraction; ghost removal method; image gray value; image morphing; noise; texture correspondence; Computer vision; Conferences; Feature extraction; Image edge detection; Interpolation; Joints; Noise; Image morphing; co-occurrence frequency image; ghost removal; texture correspondence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers of Computer Vision, (FCV), 2013 19th Korea-Japan Joint Workshop on
  • Conference_Location
    Incheon
  • Print_ISBN
    978-1-4673-5620-6
  • Type

    conf

  • DOI
    10.1109/FCV.2013.6485490
  • Filename
    6485490