Journal of Food, Agriculture and Environment




Vol 12, Issue 2,2014
Online ISSN: 1459-0263
Print ISSN: 1459-0255


Grape size classification algorithm research based on digital image


Author(s):

Min Li 1, 2, Qiaohua Wang 1*

Recieved Date: 2014-02-08, Accepted Date: 2014-04-15

Abstract:

In this article, a grape size grading method based on machine vision system is proposed. In this method, the whole bunch of grapes image is collected with the special machine vision system, the grape edge sampling points sequence is calculated by starting from the initial point of the edge, the ellipsometric parameter extracted after the least square ellipse fitting of the single grain edge is considered as the size characteristic parameter, and the grading level model is built, finally to realize the automatic size grading of the whole string of grape.

Keywords:

Grape fruit, machine vision, least square ellipse fitting, ellipsometric parameter, diameter


Journal: Journal of Food, Agriculture and Environment
Year: 2014
Volume: 12
Issue: 2
Category: Agriculture
Pages: 356-359


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