Using Texture Analyses and Statistical Classification for Detection Plant Leaf Diseases
| Autor: | Basim K.M.A Al-Windi, Amel H. Abbas, Mohammed Shakir Mahmood |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Al-Mustansiriyah Journal of Science, Vol 32, Iss 5, Pp 1-4 (2021) |
| Druh dokumentu: | article |
| ISSN: | 1814-635X 2521-3520 99781042 |
| DOI: | 10.23851/mjs.v32i5.1115 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|