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Reseach Article

Diseases Classification on Cotton leaves by Advance Digital Image Processing Approach

Published on March 2012 by Viraj A. Gulhane, Ajay A. Gurjar
2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
Foundation of Computer Science USA
NCIPET - Number 3
March 2012
Authors: Viraj A. Gulhane, Ajay A. Gurjar
edd02311-9fa8-4200-b2e8-97598c3f7d66

Viraj A. Gulhane, Ajay A. Gurjar . Diseases Classification on Cotton leaves by Advance Digital Image Processing Approach. 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013). NCIPET, 3 (March 2012), 9-12.

@article{
author = { Viraj A. Gulhane, Ajay A. Gurjar },
title = { Diseases Classification on Cotton leaves by Advance Digital Image Processing Approach },
journal = { 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013) },
issue_date = { March 2012 },
volume = { NCIPET },
number = { 3 },
month = { March },
year = { 2012 },
issn = 0975-8887,
pages = { 9-12 },
numpages = 4,
url = { /proceedings/ncipet/number3/5208-1019/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
%A Viraj A. Gulhane
%A Ajay A. Gurjar
%T Diseases Classification on Cotton leaves by Advance Digital Image Processing Approach
%J 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
%@ 0975-8887
%V NCIPET
%N 3
%P 9-12
%D 2012
%I International Journal of Computer Applications
Abstract

In identifying and diagnosing cotton disease the pattern of disease is the important part. Various features of the image can be extracted viz. color of the infected part and by applying various color windows to the disease image and after that we obtained the vector value for this image, also similar procedure is applied for the normal cotton leaf image and that values compared with one another and vector distance is calculated and depending upon that vector distance the disease is identified and based upon this diagnosis is possible.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Texture eigen feature classifier feature extraction detection