Using Texture Analyses and Statistical Classification for Detection Plant Leaf Diseases

Abstract

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.

Keywords

• glcm
• texture analyses
• hsv (hue saturation value)
• statistical classification