DocumentCode :
2851828
Title :
Image feature extraction of crop disease
Author :
Song, Yinmao ; Diao, Zhihua ; Wang, Yunpeng ; Wang, Huan
Author_Institution :
Coll. of Electr. & Inf. Eng., Zhengzhou Univ. of Light Ind., Zhengzhou, China
fYear :
2012
fDate :
24-27 June 2012
Firstpage :
448
Lastpage :
451
Abstract :
This article described the feature extraction methods of crop disease based on computer image processing technology in detail. Based on color, texture and shape feature extraction method in three aspects features and their respective problems were introduced start from the perspective of lesion leaves. Application research of image feature extraction in the filed of crop disease was reviewed in recent years. The results were analyzed that about feature extraction methods, and then the application of image feature extraction techniques in the future detection of crop diseases in the field of intelligent was prospected.
Keywords :
crops; diseases; feature extraction; image processing; computer image processing technology; crop disease; feature extraction methods; image feature extraction; intelligent field; lesion leaves; Feature extraction; Lead; Shape; Image processing; color; crop diseases; feature extraction; shape; texture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical & Electronics Engineering (EEESYM), 2012 IEEE Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-2363-5
Type :
conf
DOI :
10.1109/EEESym.2012.6258689
Filename :
6258689
Link To Document :
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