• DocumentCode
    3097779
  • Title

    An Improved Approach for Cell Image Recognition based on Fractal Coding and Fractal Singular Value Neighbor Distance

  • Author

    Shi, Shanshan ; Ji, Guangrong ; Zheng, Haiyong

  • Author_Institution
    Dept. of Electron. Eng., Ocean Univ. of China, Qingdao
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    432
  • Lastpage
    435
  • Abstract
    Based on fractal coding and fractal singular value neighbor distance, an improved approach for cell image recognition is proposed in this paper. Fractal singular value neighbor distance is brought forward based on fractal neighbor distance and singular value decomposition. Fractal coding and local singular value decomposition are used to improve the recognition rate. The experimental results show that the method can keep a good robustness to the variation of illumination, pose and expression, compared with traditional fractal neighbor distances. Furthermore, the method shows that the training time is short and recognition rate is high.
  • Keywords
    biology computing; image coding; image recognition; singular value decomposition; cell image recognition; fractal coding; fractal singular value neighbor distance; singular value decomposition; Extraterrestrial measurements; Forward contracts; Fractals; Geometry; Image coding; Image recognition; Object recognition; Oceans; Robustness; Singular value decomposition; Cell image recognition; Fractal coding; Fractal neighbor distance; Fractal singular value neighbor distance; Singular value decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3530-2
  • Electronic_ISBN
    978-1-4244-3531-9
  • Type

    conf

  • DOI
    10.1109/KAMW.2008.4810517
  • Filename
    4810517