A Curvelet-SC Recognition Method for Maize Disease
Joint Authors
Dong, Tingting
Luo, Jing
Geng, Shuze
Xiu, Chunbo
Song, Dan
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-05
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
Because the corn vein and noise influence the contour extraction of the maize leaf disease, we put forward a new recognition algorithm based on Curvelet and Shape Context (SC).
This method can improve the speed and accuracy of maize leaf disease recognition.
Firstly, we use Seeded Regional Growing (SRG) algorithm to segment the maize leaf disease image.
Secondly, Curvelet Modulus Correlation (CMC) method is put forward to extract the effective contour of maize leaf disease.
Thirdly, we combine CMC with the SC algorithm to obtain the histogram features and then use these features we obtain to calculate the similarities between the template image and the target image.
Finally, we adopt n-fold cross-validation algorithm to recognize diseases on maize leaf disease database.
Experimental results show that the proposed algorithm can recognize 6 kinds of maize leaf diseases accurately and achieve the accuracy of 94.446%.
Meanwhile this algorithm has guiding significance for other diseases recognition to an extent.
American Psychological Association (APA)
Luo, Jing& Geng, Shuze& Xiu, Chunbo& Song, Dan& Dong, Tingting. 2015. A Curvelet-SC Recognition Method for Maize Disease. Journal of Electrical and Computer Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1068076
Modern Language Association (MLA)
Luo, Jing…[et al.]. A Curvelet-SC Recognition Method for Maize Disease. Journal of Electrical and Computer Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1068076
American Medical Association (AMA)
Luo, Jing& Geng, Shuze& Xiu, Chunbo& Song, Dan& Dong, Tingting. A Curvelet-SC Recognition Method for Maize Disease. Journal of Electrical and Computer Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1068076
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1068076