• DocumentCode
    3024399
  • Title

    Recognition of the screen coding based on mathematical morphology

  • Author

    Sun Yanpeng ; Xu Jun ; Bai Wenjing

  • Author_Institution
    Coll. of Electron. Inf. Eng., Shen Yang Aerosp. Univ., Shen Yang, China
  • fYear
    2013
  • fDate
    20-22 Dec. 2013
  • Firstpage
    1376
  • Lastpage
    1381
  • Abstract
    Screen coding is a new spatial domain information hiding technique, long recognition time and low recognition rate belongs to the traditional methods. Mathematical morphology algorithm has a natural parallel implementation structure. It can be applied to simplify the image data , keep the shape feature and remove the irrelevant part. In this paper, mathematical morphology algorithm is use to image denoising and edge extraction. By use of dilation operation, the influence introduced by tiny deformation is released. Experimental results indicate that this new algorithm have a higher recognition rate and it can reduce the decoding time .
  • Keywords
    Hough transforms; data encapsulation; edge detection; feature extraction; image coding; image denoising; mathematical morphology; security of data; Hough transform; decoding time; dilation operation; edge extraction; image data simplification; image denoising; mathematical morphology algorithm; natural parallel implementation structure; screen coding recognition; shape feature; spatial domain information hiding technique; tiny deformation; Decoding; Encoding; Image coding; Image edge detection; Morphology; Transforms; Hough transform; edge detection; filtering; mathematical morphology; recognition; screen coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
  • Conference_Location
    Shengyang
  • Print_ISBN
    978-1-4799-2564-3
  • Type

    conf

  • DOI
    10.1109/MEC.2013.6885284
  • Filename
    6885284