Application of Image Enhancement Techniques on Cotton Leaf Diseases

Abstract: Image Enhancement techniques are widely used to improve the quality of the images.  This technique is used to smooth the images or detecting the edges of the images. Image processing is to manipulate the images by using algorithms. In this paper the cotton leaf disease such as Bacterial Blight, Anthracnose, Leafhopper damage symptom images are capture. The captured images are processed with images sharpening techniques such as Unsharp Masking, Gaussian Sharpening and images enhancing techniques such as Color Histogram Equalization are used to improve the quality of images. The image dataset are measured with PSNR and MSE values. The results of the three technique are compared with MATLAB Image processing ToolBox, the Unsharp Masking technique results with better PSNR and MSE measurement.

Keywords: Cotton leaf, Bacterial Blight, Anthracnose, Leafhopper, PSNR, MSE, Enhancement Techniques.