Image Quality Enhancement for Wheat rust Diseased Leaf Image using Histogram Equalization & CLAHE

Abstract

In the domain of agriculture, few crops play an important role as wheat is one of them. It is one of the most important one’s across the globe. Nearly providing 15% food production across the world, it is also a winter cereal crop and a most essential food. The real challenge is to enhance the images of wheat crop in the agricultural area. because some of these are captured in real space environments may not be that clear to predict the type of disease of the crop that it is suffering from. So, we enhance the captured images using few existing techniques using the image histograms and the further details are extracted from these enhanced images, which make the disease judgement easy. We try to enhance the pixel intensity of the image using histogram equalization technique and by exploring various other models which deal with CLAHE which stands for Contrast Limited Adaptive Histogram Equalization then we finally conclude with results of the enhanced image by comparing with the originally clicked images which has fine detailed information about the rust in the crop.