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
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;
Conference_Titel :
New Technology of Agricultural Engineering (ICAE), 2011 International Conference on
Conference_Location :
Zibo
Print_ISBN :
978-1-4244-9574-0
DOI :
10.1109/ICAE.2011.5943736
