• DocumentCode
    2994861
  • Title

    The segmentation in textile printing image based on mean shift

  • Author

    Li, Pengfei ; Wang, Shaoru ; Jing, Junfeng

  • Author_Institution
    Coll. of Electron. & Inf., Xi´´an Polytech. Univ., Xi´´an, China
  • fYear
    2009
  • fDate
    26-29 Nov. 2009
  • Firstpage
    1528
  • Lastpage
    1532
  • Abstract
    According to the theory of mean shift, a color image segmentation algorithm based on mean shift was proposed for the textile printing images. The principle of mean shift was demonstrated, and the extend principle of mean shift was educed. The extended mean shift algorithm was used to try to solve the segmentation of the textile printing image. In this issue, two main steps were introduced: the fitting of image and the segmentation of image. The influences of three parameters to the segmentation effect were analysed. The laboratory result shows that the proposed algorithm can get excellent segmentation after chosen three better parameters.
  • Keywords
    image colour analysis; image segmentation; textile industry; image color; image fitting; image segmentation; mean shift; textile printing image; Color; Educational institutions; Image segmentation; Laboratories; Machine vision; Pixel; Printing; Probability density function; Testing; Textile technology; Image segmentation; mean shift; textile printing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Industrial Design & Conceptual Design, 2009. CAID & CD 2009. IEEE 10th International Conference on
  • Conference_Location
    Wenzhou
  • Print_ISBN
    978-1-4244-5266-8
  • Electronic_ISBN
    978-1-4244-5268-2
  • Type

    conf

  • DOI
    10.1109/CAIDCD.2009.5374967
  • Filename
    5374967