• DocumentCode
    604408
  • Title

    Feature selection of chromosome images

  • Author

    Wenzhong Yan ; Dongming Li

  • Author_Institution
    Dept. of Comput., North China Inst. of Sci. & Technol., Beijing, China
  • fYear
    2012
  • fDate
    29-31 Dec. 2012
  • Firstpage
    677
  • Lastpage
    680
  • Abstract
    Feature selection is an important step in a computer-assisted chromosome detection and classification system. Different types of chromosome features can be investigated. These features are often joined together to produce an initial feature vector. A feature selection process is applied to remove the redundant features and generate a small and optimal feature vector. Then the chromosomes can be classified by this feature vector. This paper is focused on feature selection algorithms. Many algorithms are investigated. The principle and the realization of these algorithms are analyzed.
  • Keywords
    cellular biophysics; feature extraction; image classification; medical computing; chromosome images; computer-assisted chromosome detection and classification system; feature selection algorithm; feature selection process; initial feature vector; optimal feature vector; redundant feature removal; chromosome; feature selection; frequency domain; space domain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4673-2963-7
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2012.6526025
  • Filename
    6526025