Journal of Food, Agriculture and Environment

Vol 10, Issue 3&4,2012
Online ISSN: 1459-0263
Print ISSN: 1459-0255

Automatic recognition of grapes’ size level based on machine vision


Min Li, Qiaohua Wang *, Jiang Zhu

Recieved Date: 2012-06-21, Accepted Date: 2012-09-22


In order to realize the automatic classification of grape size nondestructively, the method used for automatic grading of grapes size is introduced in this article. The grape images were collected by the machine vision device to image enhancement processing, and the grape contour was segmented by using edge detection twice, after grape contour information was extracted, the angle of curvature was used to calculate the angle of curvature of every point of grape contour, and the average value was taken as the image outline curvature angle value. The angle of curvature of grape fringe figure was selected as characteristic parameter for the size classification and the identification model of grape size. The accuracy rate of model being nearly 90%, shows that the method is feasible and the machine vision for classification of similar round string agricultural products to provide a new idea. 


Grape, machine vision, image processing, angle of curvature

Journal: Journal of Food, Agriculture and Environment
Year: 2012
Volume: 10
Issue: 3&4
Category: Food and Health
Pages: 78-80

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