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
Link To Document