• DocumentCode
    1667392
  • Title

    Image analysis method for grading raw shiitake mushrooms

  • Author

    Hazisawa, T. ; Toda, Masayoshi ; Sakoil, T. ; Matumural, K. ; Fukuda, Motohisa

  • Author_Institution
    Grad. Sch. of Syst. Inf. Sci., Future Univ. Hakodate, Hakodate, Japan
  • fYear
    2013
  • Firstpage
    46
  • Lastpage
    52
  • Abstract
    This paper presents the image analysis method for raw shiitake mushroom from image to shiitake grading to develop an automated system for grading a raw shiitake. Analysis pieces are the size of mushroom and the level of opening cap. Proposed method calculates the size of shiitake by using area sum of shiitake area and the rate of lamella area. To extract lamella area in image, proposed method uses the direction of gradient vector. The gradient vectors in lamella tend to be perpendicular in the vectors from the center of shiitake area. The test raw shiitake images which are categorized into 6 the level of opening cap classes and 4 size classes.
  • Keywords
    agriculture; gradient methods; image processing; agriculture; area sum; automated system; gradient vectors; grading raw shiitake mushrooms; image analysis method; lamella area; opening cap classes; shiitake area; size classes; Cameras; Computer vision; Conferences; Image color analysis; Joints; Testing; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers of Computer Vision, (FCV), 2013 19th Korea-Japan Joint Workshop on
  • Conference_Location
    Incheon
  • Print_ISBN
    978-1-4673-5620-6
  • Type

    conf

  • DOI
    10.1109/FCV.2013.6485458
  • Filename
    6485458