Xuefeng Wang Hirafuji, M.
Res. Inst. of Forest Resource Inf. Tech., Chinese Acad. of Forestry, Beijing, China
This paper appears in: Image and Signal Processing (CISP), 2010 3rd International Congress on
Issue Date: 16-18 Oct. 2010
On page(s): 1937 – 1941
Print ISBN: 978-1-4244-6513-2
INSPEC Accession Number: 11676775
Digital Object Identifier: 10.1109/CISP.2010.5648095
Date of Current Version: 29 November 2010
With fossil fuels decreasing, society is faced with an unprecedented energy crisis. One of the most important ways to solve this problem is by identifying sustainable alternatives for fossil fuels. This article studied the salt tolerance of shinyleaf yellowhorn which is a strong drought resistant and high-quality plant which produces oil seeds for biodiesel. 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: (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.