Abstract
Digital image processing is employed in numerous areas of biology to identify and analyse problems. This approach aims to use image processing techniques for citrus canker disease detection through leaf inspection. Citrus canker is a severe bacterium-based citrus plant disease. The symptoms of citrus canker disease typically occur in the leaves, branches, fruits and thorns. The leaf images show the health status of the plant and facilitate the observation and detection of the disease level at an early stage. The leaf image analysis is an essential step for the detection of numerous plant diseases. The proposed approach consists of two stages to improve the clarity and quality of leaf images. The primary stage uses Recursively Separated Weighted Histogram Equalization (RSWHE), which improves the contrast level. The second stage removes the unwanted noise using a Median filter. This proposed approach uses these methods to improve the clarity of the images and implements these methods in lemon citrus canker disease detection.
Highlights
In India, various citrus plants are cultivated in every state
The proposed methods play an important role in citrus canker disease detection by improving image quality with greater clarity
Image enhancement methods have been applied to various lemon citrus canker diseased leaf images using MATLAB
Summary
In India, various citrus plants are cultivated in every state. the geographic areas of Andhra Pradesh, Karnataka, Punjab, Assam and TamilNadu are the leading citrus-growing states. Citrus canker is seen on leaves, twigs, branches, fruit stalks, fruits and thorns and may lead to tree death and loss of yield. Canker on the fruit does not have the yellow halo seen on leaves. This proposed approach considers lemon leaves for detection of citrus canker disease and uses two major techniques to obtain clear, high quality images. The proposed approach collects or captures unhealthy leaf images from outside and uses RSWHE and a Median filter to get high quality images. These high quality images are necessary for leaf disease detection. The following figures show various stages of citrus canker on the leaves
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