• DocumentCode
    535448
  • Title

    Salt tolerance research of shinyleaf yellowhorn seedlings based on the pixel changes

  • Author

    Wang, Xuefeng ; Hirafuji, Masayuki

  • Author_Institution
    Res. Inst. of Forest Resource Inf. Tech., Chinese Acad. of Forestry, Beijing, China
  • Volume
    4
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    1937
  • Lastpage
    1941
  • Abstract
    With the fossil fuels decreasing, human being is faced with an unprecedented energy crisis. One of the important way to solve this problem is looking for an alternative of the fossil fuels. This article studied on the salt tolerance of shinyleaf yellowhorn which was a kind of strong drought resistance and high-quality plant of bio-fuel raw material. After the plant was segmented from original color images of different salt concentration and different growth time, the tolerance to salinity of the plant was analyzed based on the changes of the plant pixels number to provide reference data for cultivation and some methodological guidance for the research of plant growth rules based on images. Several conclusions were obtained as follows. (1) It is a good way to study the dynamic rules of plant growth according to the changes of the pixels number based on image; (2) Color plant images can be segmented well by using the chromaticity coordinate cg, which is equal to 0.40 in this study as the critical value. (3) Shinyleaf yellowhorn seedlings can survive in hydroponic solution when the salt concentration is 1.5%, but died when the concentration is 3%.(4) Shinyleaf yellowhorn seedlings grow normally in the soil with 3% salt concentration, stagnate when the concentration is 4.5%, and wither when the concentration is 6.0%. (5) Shinyleaf yellowhorn can grow in a weak saline soil.
  • Keywords
    biofuel; biology computing; botany; image colour analysis; image segmentation; bio-fuel raw material; color image segmentation; color plant images; drought resistance; energy crisis; fossil fuels; high-quality plant; hydroponic solution; plant growth rules; plant pixels; plant salinity; salt tolerance research; shinyleaf yellowhorn seedlings; weak saline soil; Containers; Image color analysis; Image segmentation; Petroleum; Pixel; Raw materials; Soil; bio-fuel; image segmentation; seedlings; shinyleaf yellowhorn;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5648095
  • Filename
    5648095