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An automated detection of plant disease is an important task to find features or abnormalities in plant and its effect on the fruits. In this paper an algorithm is proposed for detection of powdery mildew disease from a cherry leaf images. The proposed method uses an automated strategic removal of background from the image and then extracting the desired diseased portion. A combination of morphological...
In this paper an algorithm is proposed for blood vessel extraction from an eye's fundus image. Blood vessels removal and detection is an important step to find features or abnormalities like red lesions, optic nerve and fovea used for retinal health diagnosis. The proposed method uses a strategic combination of green and L channel to develop the final vessel structure which increases the accuracy...
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