• DocumentCode
    2243437
  • Title

    Fast fractal image retrieval algorithm based on contiguous-matches

  • Author

    Liu, Yu ; Zhang, Ming ; Yuan, Fang

  • Author_Institution
    Coll. of Math. & Comput. Sci., Hebei Univ., Baoding, China
  • Volume
    4
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    2047
  • Lastpage
    2052
  • Abstract
    The compression transform parameters that keep the image approximate constant are recorded in fractal code, which reflect the cross-scale redundancy features between different regions of a natural image. Therefore the application of the parameters to content based image retrieval will achieve effects. In this paper, a new image fast fractal encoding method based on adaptive quadtree is put forward. In addition, an image retrieval algorithm and the distance formula are also given. Along with the substantial increase in retrieval effect, the image decoding quality is also guaranteed. Results show that this algorithm significantly reduces the encoding time of image retrieval, and the accurate-complete rating of which is obviously superior to that of the color histogram method.
  • Keywords
    content-based retrieval; image coding; image colour analysis; image retrieval; accurate-complete rating; color histogram method; compression transform parameters; content based image retrieval; contiguous-matches; cross-scale redundancy features; distance formula; fractal image retrieval algorithm; image decoding quality; image fast fractal encoding method; Feature extraction; Fractals; Histograms; Image coding; Image color analysis; Image retrieval; Machine learning; CBIR; Contiguous-match; Fractal code; Quadtree;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5580504
  • Filename
    5580504