Disease recognition in philodendron leaf using image processing technique
2021
Muthukrishnan, Viswanath | Ramasamy, Seetharaman | Damodaran, Nedumaran
Numerous disease recognition techniques are available to identify diseases in plant leaves. Assignment of spherical polar coordinate treated equivalent to hue, saturation, and intensity helps for disease recognition in Philodendron leaf which was identified as specks. Black vision, white vision, and color vision for the eye are possible with photopigments present in rods and cones in the retina. The highlight of this paper is converting the Philodendron leaf in natural color to grayscale and applying the technique of hue, saturation, and value to the gray image. Then running iteration for the double-sized image by allowing for the simultaneous recognition of the diseased part helps for the identification of the spots present in the leaf. This focuses specks on a brighter scale.
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