Using Texture Analyses and Statistical Classification for Detection Plant Leaf Diseases

Al-Mustansiriyah Journal of Science

View Publication Info
 
 
Field Value
 
Title Using Texture Analyses and Statistical Classification for Detection Plant Leaf Diseases
 
Creator Al-Windi, Basim K.M.A
Abbas, Amel H.
Mahmood, Mohammed Shakir
 
Subject Image processing
GLCM; Texture Analyses; HSV (Hue Saturation Value); Statistical Classification
 
Description The proposed method is based on classifying 15 types of plant leaf disease. Hue saturation value was used to delete the background and the healthy areas to show only the affected area in the image. Texture analyses adopted in image features extractions from the R component &G component &B component and creating 3 components which are RG and RB and GB color of the RGB color space images of diseased leaves. Building image classifier using statistical method for classification.
 
Publisher Mustansiriyah University
 
Contributor Mustansiriyah University
 
Date 2021-12-15
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://mjs.uomustansiriyah.edu.iq/ojs1/index.php/MJS/article/view/1115
10.23851/mjs.v32i5.1115
 
Source Al-Mustansiriyah Journal of Science; Vol 32, No 5 (2021): Special Issue: Mustansiriyah International Conference on Applied Physics (MICAP 2021); 1-4
2521-3520
1814-635X
10.23851/mjs.v32i5
 
Language eng
 
Relation http://mjs.uomustansiriyah.edu.iq/ojs1/index.php/MJS/article/view/1115/pdf
 
Rights Copyright (c) 2021 Al-Mustansiriyah Journal of Science
http://creativecommons.org/licenses/by-nc/4.0
 

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