• DocumentCode
    3033891
  • Title

    Foreign matter identification in Piper Nigrum samples

  • Author

    Iskandar, D. N F Awang ; Ling, Ng Jo ; Fauzi, Ahmad Hadinata

  • Author_Institution
    Fac. of Comput. Sci. & Inf. Technol., Univ. Malaysia Sarawak, Kota Samarahan, Malaysia
  • fYear
    2011
  • fDate
    4-6 March 2011
  • Firstpage
    127
  • Lastpage
    131
  • Abstract
    The process of grading Malaysia Pepper berries are still semi-automatic. One of the grading criteria is based on the extraneous and foreign matters that exist in pepper berries samples. Therefore, in this paper we propose image processing techniques to identify the foreign matter. We analyse the number of foreign matters in the image and locate them using the xPepper Identification System. Our finding shows that image processing techniques eases the manual approach as it saves time and cost of human labour.
  • Keywords
    agricultural products; automatic optical inspection; computer vision; image processing; production engineering computing; Malaysia pepper berries; Piper Nigrum; foreign matter identification; grading process; image processing techniques; Image color analysis; Image segmentation; Object recognition; Pixel; Shape; Training; agricultural sciences; computer vision; image processing and analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and its Applications (CSPA), 2011 IEEE 7th International Colloquium on
  • Conference_Location
    Penang
  • Print_ISBN
    978-1-61284-414-5
  • Type

    conf

  • DOI
    10.1109/CSPA.2011.5759857
  • Filename
    5759857