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基于神经网络的苹果自动分级方法(PDF)

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2009年01期
Page:
136-138
Column:
研究简报
publishdate:
2009-01-30

Article Info:/Info

Title:
Method of apple automatic grading based on neural network
Author(s):
ZHAO MaochengHOU Wenjun
College of Electronic and Mechanical Engineering, Nanjing Forestry University, Nanjing 210037, China
Keywords:
machine visionapple gradingneural network
Classification number :
TP183
DOI:
10.3969/j.jssn.1000-2006.2009.01.029
Document Code:
A
Abstract:
The HSI color model was used to describe the color feature of the apple in the paper. Four chroma average values were used to substitute the apple chroma from the apple color histogram. The apple grading system based on BP neural network was established. In the system, there were 4 nodes of chroma in the input layer, 2 nodes of apple types in the output layer and 5 nodes in the implicit layer. The experimental results showed that 95% apples could be graded precisely and the system could meet practical demands.

References

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Last Update: 2009-05-06