• DocumentCode
    2664005
  • Title

    The segmentation algorithm of improvement a two-dimensional Otsu and application research

  • Author

    Lu, Changhua ; Zhu, Ping ; Cao, Yong

  • Author_Institution
    Sch. of Comput. & Inf., Hefei Univ. of Technol., Hefei, China
  • Volume
    1
  • fYear
    2010
  • fDate
    3-5 Oct. 2010
  • Abstract
    Thresholding is an efficient technique for image segmentation. Otsu is frequently used in digital image processing. Two-dimensional Otsu threshold algorithm has been proposed based on Otsu algorithm. This paper gives an improved two-dimensional Otsu segmentation method which changes the coordinate system of the two-dimensional histogram to strengthen resistance to noise and improve the computing speed. Experimental results show that the method is superior to the traditional one-dimensional and two-dimensional Otsu segmentation, and can be used to Tube-type bottle line machine vision inspection.
  • Keywords
    computer vision; image segmentation; statistical analysis; digital image processing; image segmentation algorithm; two-dimensional Otsu; two-dimensional histogram; Gaussian noise; Histograms; Image segmentation; Object segmentation; Pixel; Software algorithms; Otsu; histogram segmentation; threshold; two-dimensional;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Technology and Engineering (ICSTE), 2010 2nd International Conference on
  • Conference_Location
    San Juan, PR
  • Print_ISBN
    978-1-4244-8667-0
  • Electronic_ISBN
    978-1-4244-8666-3
  • Type

    conf

  • DOI
    10.1109/ICSTE.2010.5608908
  • Filename
    5608908