• DocumentCode
    231827
  • Title

    Fractal features for object recognition

  • Author

    Yan Zhou ; Jianning Liang

  • Author_Institution
    Dept. of Comput. Sci. & Eng., East China Univ. of Sci. & Technol., Shanghai, China
  • fYear
    2014
  • fDate
    19-23 Oct. 2014
  • Firstpage
    1225
  • Lastpage
    1229
  • Abstract
    The fractal dimension can measure the distribution of pixels´ intensities. Thus, it can be used as a tool to describe the image content. Three kinds of fractal dimensions i.e. box dimension, correlation dimension and information dimension are applied in the construction of fractal features. The object recognition is accomplished according to the similarities of the fractal features. The experiments on three data sets illustrate that fractal feature work well for objection recognition.
  • Keywords
    feature extraction; fractals; image recognition; object recognition; fractal dimension; fractal feature construction; image content; object recognition; pixel intensity distribution; Accuracy; Correlation; Feature extraction; Fractals; Object recognition; Shape; Training; Fractal features; Object recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2014 12th International Conference on
  • Conference_Location
    Hangzhou
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4799-2188-1
  • Type

    conf

  • DOI
    10.1109/ICOSP.2014.7015195
  • Filename
    7015195
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=231827