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
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| Creator |
Al-Windi, Basim K.M.A
Abbas, Amel H. Mahmood, Mohammed Shakir |
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| Subject |
Image processing
GLCM; Texture Analyses; HSV (Hue Saturation Value); Statistical Classification |
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| 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.
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| Publisher |
Mustansiriyah University
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| Contributor |
Mustansiriyah University
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| Date |
2021-12-15
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| Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
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| Format |
application/pdf
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| Identifier |
http://mjs.uomustansiriyah.edu.iq/ojs1/index.php/MJS/article/view/1115
10.23851/mjs.v32i5.1115 |
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| 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 |
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| Language |
eng
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| Relation |
http://mjs.uomustansiriyah.edu.iq/ojs1/index.php/MJS/article/view/1115/pdf
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| Rights |
Copyright (c) 2021 Al-Mustansiriyah Journal of Science
http://creativecommons.org/licenses/by-nc/4.0 |
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