%0 Journal Article
%T Detection of Diseases on Cotton Leaves and its Possible Diagnosis
%A Mr. V. A. Gulhane & Dr. A. A. Gurjar
%J International Journal of Image Processing
%D 2011
%I Computer Science Journals
%X In a research of identifying and diagnosing cotton disease, the pattern of disease is important partin that, various features of the images are extracted viz. the colour of actual infected image, thereare so many diseases occurred on the cotton leaf so the leaf colour for different diseases is alsodifferent, also there are various other features related to shape of image, also there are differentshape of holes are present on the leaf of the image, generally the leaf of infected image haveelliptical shape of holes, so calculating the major and minor axis is the major task. The featurescould be extracted using self organizing feature map together with a back-propagation neuralnetwork is used to recognize colour of image. This information is used to segment cotton leafpixels within the image, now image which is under consideration is well analyzed and dependingupon this software perform further analysis based on the nature of this image.
%K Image Processing Application in Agriculture Science
%K Coding
%K Analysis and Recognition
%K Biomedical Image Processing.
%U http://cscjournals.org/csc/manuscript/Journals/IJIP/volume5/Issue5/IJIP-478.pdf