• DocumentCode
    2842527
  • Title

    An Improved Image Signature Based on ICM Combined with SRIC

  • Author

    Fanfeng, Meng ; Fanjiang, Meng

  • Author_Institution
    Dept. of Comput. Sci., Northeast Agric. Univ., Harbin, China
  • Volume
    1
  • fYear
    2010
  • fDate
    13-14 Oct. 2010
  • Firstpage
    45
  • Lastpage
    50
  • Abstract
    An improved image signature is proposed and extracted. Firstly, a color information based ICM(Intersecting Cortical Model) image signature is presented. Then a new object feature named SRIC(Silhouette Rotate Interceptive Curve) is described. After these researches, a more distinguishable image signature algorithm based on ICM combined with SRIC is proposed and realized. The Contrast experimentation results show that the distinguishability of the proposed image signature feature is better than the original image signature, and has higher process speed, lower computation complexity. It can be used as a characteristic of video object for identification in practical real-time applications.
  • Keywords
    computational complexity; feature extraction; image colour analysis; SRIC; color information based ICM; computation complexity; contrast experimentation; image signature; intersecting cortical model; silhouette rotate interceptive curve; video object; Algorithm design and analysis; Colored noise; Data mining; Feature extraction; Image color analysis; Image edge detection; Neurons; image signature; projective length curve; projective silhouette;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Design and Engineering Application (ISDEA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-8333-4
  • Type

    conf

  • DOI
    10.1109/ISDEA.2010.431
  • Filename
    5743126