• DocumentCode
    499003
  • Title

    New way to process Charcoal Drawing effect

  • Author

    Li, Guo-dong ; Xu, Wen-xia ; Wang, Li-Li

  • Author_Institution
    Sch. of Math. & Phys., North China Electr. Power Univ., Beijing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    1156
  • Lastpage
    1159
  • Abstract
    In this paper, we provide a new way to process charcoal drawing with cell nerve network(CNN). Charcoal drawing is an important phase in art drawing. In this paper, we use the cellular neural networks to process charcoal drawing. we present a robustness design theorem for the optimal edge detector cellular neural network (OEDGE CNN). As applications, We can find some charcoal drawing effect with different parameter of the CNN. To this point, a novel approach to image processing has been developed in the work.
  • Keywords
    art; cellular neural nets; edge detection; image processing; art drawing; cell nerve network; charcoal drawing effect; optimal edge detector cellular neural network; robustness design theorem; Cybernetics; Machine learning; Charcoal drawing; Edge detection; OEDGE CNN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212445
  • Filename
    5212445