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 :
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