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《Journal of Anhui Agricultural Sciences》 2010-23
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Research on Mango Appearance Rank Classification Based on Computer Vision and Neural Network

LIN Wen (Guangxi Vocational College of Business and Technology,Nanning,Guangxi 530003)  
For the shortage of artificial rank method in mango appearance rank classification,a method of mango appearance rank classification was presented based on computer vision technology and BP artificial neural networks. First,through the computer vision technology gaining mango image,the basic image processing method was used to carry on pre-processing to the mango image. Secondly,according to the effect of the appearance characteristic to mango appearance rank classification,the mango's wavelet characteristic parameter was chosed,the flaw area percentage,the color H component value,the transverse diameter and the shape index as its characteristic parameters of appearance rank classification. Finally,using these selected eight characteristic parameters as the input and the three rank classification results as the output,the BP neural network model of mango appearance rank classification was established and the mango appearance rank classification was realized. The test results indicated that the presented mango appearance rank classification method is effective and the recognition accurate rate has reached 93.3%.
【CateGory Index】: TP391.41
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