• DocumentCode
    430773
  • Title

    Nondestructive exported mangosteen grading by inspection of external features

  • Author

    Rujapha, P. ; Kosin, C.

  • Author_Institution
    Dept. of Comput. Eng., King Mongkut´s Univ. of Technol. Thonburi, Bangkok, Thailand
  • Volume
    1
  • fYear
    2004
  • fDate
    26-29 Oct. 2004
  • Firstpage
    465
  • Abstract
    In mangosteen grading for quality warranty, we have to classify mangosteen into (1) extra class, (2) class I, and (3) class II. However some factors such as color texture and flaw that indicate the class are ambiguous. This paper proposes a method of non-destructive exported mangosteen grading by inspection of external features. In this method, we employ hue feature to separate the calyx of the mangosteen, value feature to detect flaw, and red and green color to determine color texture. To evaluate the performance of proposed method, the experiments with twenty harvested mangosteen have been performed, and the results reveal approximately 95% accuracy, compared with an expert.
  • Keywords
    agricultural products; edge detection; feature extraction; flaw detection; food products; image classification; image colour analysis; image texture; inspection; nondestructive testing; ambiguous factors; calyx separation; color texture; external features inspection; flaw detection; green color; harvested mangosteen; hue feature; mangosteen classification; nondestructive exported mangosteen grading; quality warranty; red color; value feature; Color; Computer vision; Digital images; Electronic mail; Image edge detection; Inspection; Performance evaluation; Shape measurement; Size measurement; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technology, 2004. ISCIT 2004. IEEE International Symposium on
  • Print_ISBN
    0-7803-8593-4
  • Type

    conf

  • DOI
    10.1109/ISCIT.2004.1412889
  • Filename
    1412889