• DocumentCode
    1340404
  • Title

    A Review on Methods for Automatic Counting of Objects in Digital Images

  • Author

    Barbedo, J. G A

  • Author_Institution
    Empresa Brasileira de Pesquisa Agropecuaria (Embrapa), Campinas, Brazil
  • Volume
    10
  • Issue
    5
  • fYear
    2012
  • Firstpage
    2112
  • Lastpage
    2124
  • Abstract
    A growing number of routine and research activities, in a wide variety of fields, have the counting of certain types of objects (cells, people, insects, etc.) as one of their main components. In most cases, such counting procedure is performed manually, in a process that is often lengthy and tedious. For that reason, several methods for automatically counting the objects of interest have been proposed in the last two decades. The vast majority of those methods rely on digital images containing the objects to provide an estimate as close as possible to the results manually obtained by human experts. The review is organized in a tutorial-like form, that is, instead of grouping the references according to a given criterion and then describing them, the paper describes some of the main tools and techniques used in this field of research, and then cites the references as sources for additional information and inspiration.
  • Keywords
    object recognition; automatically counting methods; counting procedure; digital images; human experts; review; tutorial-like form; Digital images; Discrete Fourier transforms; Image resolution; Image segmentation; Principal component analysis; Wavelet transforms; automatic object counting; digital images;
  • fLanguage
    English
  • Journal_Title
    Latin America Transactions, IEEE (Revista IEEE America Latina)
  • Publisher
    ieee
  • ISSN
    1548-0992
  • Type

    jour

  • DOI
    10.1109/TLA.2012.6362356
  • Filename
    6362356