• DocumentCode
    1958714
  • Title

    Judgment on level of maturity for tomato quality using L*a*b* color image processing

  • Author

    Gejima, Yoshinori ; Zhang, Houguo ; Nagata, Masateru

  • Author_Institution
    Fac. of Agric., Miyazaki Univ., Japan
  • Volume
    2
  • fYear
    2003
  • fDate
    20-24 July 2003
  • Firstpage
    1355
  • Abstract
    This paper was described the judgment of Maturity for Tomato quality using color image processing. The image analysis were used for the RGB and L*a*b* color system. In the analyzes, the pixels count of G(36) showed the highest correlation coefficient from tomato maturity. But, the average value of a* of the tomato upper surface was more accurate maturity index than the radical regression curve of G(36).
  • Keywords
    agriculture; automatic optical inspection; computer vision; image colour analysis; quality control; RGB color system; color image processing; correlation coefficient; image analysis; maturity index; maturity level; radical regression curve; tomato maturity; tomato quality; Agricultural engineering; Agriculture; Educational institutions; Humans; Image color analysis; Image processing; Lighting; Machine vision; Safety; Turning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics, 2003. AIM 2003. Proceedings. 2003 IEEE/ASME International Conference on
  • Print_ISBN
    0-7803-7759-1
  • Type

    conf

  • DOI
    10.1109/AIM.2003.1225540
  • Filename
    1225540
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1958714