%0 Journal Article
%T Real-Time Apple Color Grading Based on Genetic Neural Network<br>基于遗传神经网络的苹果颜色实时分级方法
%A LI Qing-zhong
%A ZHANG Man
%A WANG Mao-hua
%A <br>李庆中
%A 张 漫
%A 汪懋华
%J 中国图象图形学报
%D 2000
%I 
%X Color is one of the most significant inspection criteria related to apple external quality. In this paper, a computer vision experimental system for apple color estimation was first discribed. The system included a single lane conveyer, an apple illumination chamber, and the hardware fot apple image acuquisition and procession. A method of using HSI color system and neural network techniques for apple color inspection was developed. A GA based training algorithm was introduced to find optimal structure or the number of hidden layer nodes and connection weghts of artificial neural network. The results of experiment show that the approach is effective fot real time color grading and is accurate. The vision system achieved over 90% accuracy in color classification for apples by representing features with hue histograms and applying artificial neural network. The executing time of microcomputer for grading of one apple is 150ms.
%K Computer vision
%K Color
%K Apple
%K Genetic algorithm
%K Neural network
%K Real-time grading
%K Image processing<br>计算机视觉
%K 颜色
%K 苹果
%K 遗传算法
%K 神经网络
%K 实时分级
%K 图象处理
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=D23A92E2C7ED2ED9D2B834EEC5168898&yid=9806D0D4EAA9BED3&vid=94C357A881DFC066&iid=9CF7A0430CBB2DFD&sid=EEAFC972BAD75B1F&eid=141C24EC1980F602&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=25&reference_num=0