DocumentCode
2086046
Title
Rape lesion feature parameter extraction based on image processing
Author
Zhongliang, Hong ; Zhengjun, Qiu
Author_Institution
Coll. of Biosystems Eng. & Food Sci., Zhejiang Univ., Hangzhou, China
fYear
2011
fDate
27-29 May 2011
Firstpage
1
Lastpage
4
Abstract
Collected Rape leaves with sclerotinia then analysis and extract the lesion parameters based on image processing. Developed lesion analysis software based on Visual Stdio2005, include automatic detection of rape lesion, geometric transformation, color transformation, morphological transformation, extract lesion parameters. Quantify the lesion area and the extent of lesion. Provide a reliable method for the recognition and parameter extraction of lesion rape leaves.
Keywords
agriculture; botany; feature extraction; object detection; Visual Stdio2005; automatic detection; color transformation; feature parameter extraction; geometric transformation; image processing; leaves recognition; morphological transformation; rape lesion; sclerotinia; Corrosion; Feature extraction; Image color analysis; Image segmentation; Lesions; Pixel; Software; didital image; rape; sclerotinia; software design; style;
fLanguage
English
Publisher
ieee
Conference_Titel
New Technology of Agricultural Engineering (ICAE), 2011 International Conference on
Conference_Location
Zibo
Print_ISBN
978-1-4244-9574-0
Type
conf
DOI
10.1109/ICAE.2011.5943736
Filename
5943736
Link To Document