• DocumentCode
    2041813
  • Title

    Moving object contour extraction based on GVF Snake and difference multiplication methods

  • Author

    Wen Qiuzi ; Fu Wenxiu

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China
  • Volume
    6
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    2637
  • Lastpage
    2641
  • Abstract
    To deal with the problem of inaccuracy in current object contour extraction algorithms, a new approach based on difference multiplication and Gradient Vector Flow (GVF) Snake is proposed. It firstly eliminates most background boundaries through difference multiplication of four consecutive frames. Then median filer is used to remove residual strong noise in the image. Finally, it operates the GVF Snake model to obtain the moving object contour. Simulation results indicate that the method can extract moving object contour completely and improves the contour extraction accuracy.
  • Keywords
    feature extraction; gradient methods; image denoising; image motion analysis; median filters; object detection; GVF snake; background boundary; difference multiplication methods; gradient vector flow snake; median filter; moving object contour extraction; object contour extraction algorithms; residual strong noise; Active contours; Feature extraction; Filtering; Image edge detection; Noise; Pixel; Simulation; contour extraction; difference multiplication; gradient vector flow; snakes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5931-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2010.5569815
  • Filename
    5569815