DocumentCode
2585836
Title
Color Analysis of Soybean Leaves Based on Computer Vision
Author
Fang, Junlong ; Ma, Lili ; Chen, Yuehua
Author_Institution
Northeast Agric. Univ. Eng. Inst., Northeast Agric. Univ., Harbin, China
Volume
1
fYear
2010
fDate
19-20 Dec. 2010
Firstpage
221
Lastpage
224
Abstract
In this paper we collected the leaves of soybean at the different stages and different nitrogen. this paper studied the leaf images of the six stages of soybean growth, which nitrogen fertilizer applied were 0%,50%,100% and 150%.The current state of development, application and research of the image processing technology are analyzed in this thesis. The color characters of soybean leaves were analyzed using the RGB and the HSI model. Get mean value of RGB and HIS, it will provide a technical basis for the diagnosis of deficiencies and excess of nitrogen for soybean leaves.
Keywords
biology computing; botany; computer vision; image colour analysis; HSI model; RGB model; color analysis; computer vision; image processing technology; nitrogen fertilizer; soybean leaves; Agriculture; Brightness; Histograms; Image color analysis; Image enhancement; Image segmentation; Nitrogen; color characters; image processing; leaf; soybean;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering (WCSE), 2010 Second World Congress on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-9287-9
Type
conf
DOI
10.1109/WCSE.2010.132
Filename
5718299
Link To Document