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《Agricultural Technology & Equipment》 2017-01
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Tomato Color Detection Research Based on Computer Vision

Wang Hongzhu;Cui Yongjie;North West Agriculture and Forestry University,Mechanical and Electronic Engineering Institute;  
For the purpose to improve the efficiency of manual sorting tomatoes, using computer vision technology, to establish tomatoes test platform, to collect images of tomatoes into HIS color model with binarization to study the tomato maturity. Four grades as provided in this paper for tomatoes, the classification results include the super excellent, excellent, good and immature, the judgment accuracy were 80%, 60%, 40% and 80%, the overall judgment accuracy is 65%.
【CateGory Index】: S641.2;TP391.41
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