Using Texture Analyses and Statistical Classification for Detection Plant Leaf Diseases

Al-Mustansiriyah Journal of Science

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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
Peer-reviewed Article
Format application/pdf
Source Al-Mustansiriyah Journal of Science; Vol 32, No 5 (2021): Special Issue: Mustansiriyah International Conference on Applied Physics (MICAP 2021); 1-4
Language eng
Rights Copyright (c) 2021 Al-Mustansiriyah Journal of Science

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