• DocumentCode
    2835809
  • Title

    Counting Clustered Soybean Seeds

  • Author

    Barbedo, Jayme Garcia Arnal

  • Author_Institution
    Embrapa Inf. Agropecuaria, Campinas, Brazil
  • fYear
    2012
  • fDate
    18-21 June 2012
  • Firstpage
    142
  • Lastpage
    145
  • Abstract
    This paper presents a method to automatically count clustered soybean seeds using digital images. The method is based on classical morphological operations, and was designed to deal with the main difficulties imposed by images of soybean seeds, namely the clustering of the seeds, variations in the illumination, and low contrast between seeds and background. The proposal shows a good performance under a wide variety of condition.
  • Keywords
    agricultural products; image processing; pattern clustering; production engineering computing; quality control; digital images; illumination; seeds clustering; soybean seeds counting; Accuracy; Digital images; Histograms; Image processing; Kernel; Lighting; Proposals; Clustered Objects; Digital Images; Object Counting; Soybean Seeds;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Its Applications (ICCSA), 2012 12th International Conference on
  • Conference_Location
    Salvador
  • Print_ISBN
    978-1-4673-1691-0
  • Type

    conf

  • DOI
    10.1109/ICCSA.2012.35
  • Filename
    6257626
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2835809