• DocumentCode
    2979726
  • Title

    An Image Preprocessing Algorithm of Weak and Small Target in Digital Video Interpretation System

  • Author

    Zhuo, Li ; Geng Qi Xian

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Beihua Univ., Jilin, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    388
  • Lastpage
    390
  • Abstract
    The weak and small target image preprocessing in the digital video interpretation system is studied. In order to improve the detection ratio of single image, firstly, morphological wavelet transform is adopted to enhance small target in the low frequency image; and then, use morphological open-reconstruction filter and threshold technique to suppress the background and segment the small target; finally, use wavelet reconstruction to get the small target detection image. Experimental results indicate that the method can detect small target precisely compared with other methods in image of low contrast small target with background clutter. The correct detection ratio of single image is 94%, and this method can improve the performance of video interpretation system.
  • Keywords
    clutter; filtering theory; image reconstruction; video signal processing; wavelet transforms; background clutter; correct detection ratio; digital video interpretation system; image preprocessing algorithm; low frequency image; morphological open-reconstruction filter; morphological wavelet transform; small target image preprocessing; threshold technique; weak target image preprocessing; Filtering; Filtering algorithms; Image reconstruction; Optical filters; Wavelet analysis; Wavelet transforms; digital video interpretation; image preprocessing; morphological reconstruction; morphological wavelet; small target detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.101
  • Filename
    5629878