Grading of fruit is important phase after harvesting and before marketing. The automatic fruit grading system extracts its defective region and grading, according to its level of defection. The classification of Fruit is done into four categories by considering smaller changes in defective parts, so it increases output efficiency and user acceptance level of different fruit categories.In this proposed system of image processing algorithm, rgb2gray method and median filter are used to preprocessed the input image and convert it into gray scaled image; after that input image is segmented using modern
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