• DocumentCode
    128654
  • Title

    Segmentation of plate dot image based on image processing techniques

  • Author

    Li Huai-lin ; Zhou Shi-sheng ; Luo Ru-bai ; Jiang Lei

  • Author_Institution
    Sch. of Printing & Packaging Eng., Xi´an Univ. of Technol., Xi´an, China
  • fYear
    2014
  • fDate
    9-11 June 2014
  • Firstpage
    1466
  • Lastpage
    1470
  • Abstract
    The accurate of printing plate dot size makes a significant impact on the reproduction of image gradient and color in the halftone image replication. Therefore, in order to eliminate the effect of noise, first of all we filter the acquisition of digital image, and then using threshold segmentation algorithm experiments on different dot image. In this paper two methods are proposed, and we named them average filtering seeking threshold method and median filtering seeking threshold method. Experimental results show that the average filtering seeking threshold method is more effective in high light and shadow areas, and in the mid-tone areas the average filtering seeking threshold method is more accurate.
  • Keywords
    image colour analysis; image denoising; image segmentation; median filters; average filtering seeking threshold method; digital image; halftone image replication; image gradient reproduction; image noise elimination; image processing techniques; median filtering seeking threshold method; mid-tone areas; plate dot image segmentation; printing plate dot size; threshold segmentation algorithm; Conferences; Filtering algorithms; Image segmentation; Industrial electronics; Maximum likelihood detection; Nonlinear filters; Average filter; Dot Image; Median filter; Threshold segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-4316-6
  • Type

    conf

  • DOI
    10.1109/ICIEA.2014.6931400
  • Filename
    6931400