IIAE CONFERENCE SYSTEM, The 5th IIAE International Conference on Industrial Application Engineering 2017 (ICIAE2017)

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Segmentation of Leaf Spot Disease on Apples Plants using Variational Level Set
Syaiful Anam, Zuraidah Fitriah, Fajar Daniyal, Dinar Yoga Saitritama

Last modified: 2017-02-20

Abstract


The apple industries become an important part in Batu City, Indonesia. More than 100,000 workers work in the apple industries such as apple porridge, apple vinegar, apple chips, and other products from apple. Leaf spot diseases on apple tree are one disease that often appears on the apple tree in Batu City. Early detection of this disease will maintain the quality and quantity of the apple production. The usage of drones to detect the health of the plant is an alternative to prevent the apple production in large area. For detecting the leaf spot disease of the apple plant, the apple leaf taken by the drone needs to be segmented into infected and healthy leaves. In this research studied how segmented leaf spot disease on apple tree by using variational level set method. The first step, the image of the leaves are converted from RGB format to format CIE L*a*b. The reddish-greenish component of the format CIE L*a*b is taken and filtered by using the Perona-Malik diffusion filter method to reduce the noise. The second step is that segmentation by using variational level set method. From the experimental results can be shown that the proposed method can segment leaf spot disease correctly almost for all test images were used.

Keywords


leaf spot disease; segmentation; variational level set

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