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基于嗅覺可視化與圖像處理的食醋醋齡檢測
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江蘇省自然科學基金項目(BK2012286)和中國博士后科學基金特別項目(2013T60509)


Age Discrimination of Vinegar Based on Artificial Olfaction Visualization and Image Processing
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    摘要:

    應用基于色敏傳感器陣列的嗅覺可視化系統(tǒng)對不同醋齡的食醋進行鑒別,。運用系統(tǒng)的圖像處理模塊,,比較了不同方法對目標圖像的中心點定位和特征區(qū)域選取的影響,。尤其在基于不同顏色空間提取特征值方面,,對比了RGB,、HSV,、Lab顏色空間,,結果表明Lab的效果最好,。利用3種顏色空間中獲得的特征數(shù)據(jù)并結合主成分分析(PCA)和線性判別分析(LDA)等模式識別方法,,鑒別食醋醋齡,,Lab顏色空間下的訓練集和預測集識別率均大于90%。

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    An artificial olfaction system based on visualization sensor array was employed to identify different ages of vinegar. In the image processing module of this system, the influence of different methods on the localization of the target image center was compared, including minimum enclosing rectangle, ellipse fitting and one-order moment. Since the target image was similar to the circle, all of the three methods could obtain center coordinates exactly, except that the last method consumed less time. Moreover, the characteristic region was reselected, which could better represent features of the target image. Usually, feature values are extracted based on the RGB color space. Then, each component and coordinate value in RGB, HSV and Lab color spaces were extracted and used as eigenvalues. The result showed that the data obtained from the Lab space had high stability. In order to identify different ages of vinegar, five different years of vinegar samples from 2011 to 2015 were selected in the experiment. The characteristic data from three kinds of color spaces was analyzed with principal component analysis (PCA) and linear discriminant analysis (LDA). Although the samples of vinegar in different years had a certain clustering tendency, especially in the Lab color space, there were still some samples overlapping each other and difficult to separate by PCA alone. Then this data was used as the input of LDA classifier for discriminate analysis. The recognition accuracy rate in the training set and testing set achieved 98% and 94% respectively in Lab color space, while the detection accuracies were not higher than 90% in other color spaces.

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林顥,宋奔騰,金鴻娟,管彬彬.基于嗅覺可視化與圖像處理的食醋醋齡檢測[J].農(nóng)業(yè)機械學報,2017,48(1):275-280. LIN Hao, SONG Benteng, JIN Hongjuan, GUAN Binbin. Age Discrimination of Vinegar Based on Artificial Olfaction Visualization and Image Processing[J]. Transactions of the Chinese Society for Agricultural Machinery,2017,48(1):275-280.

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  • 收稿日期:2016-05-28
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  • 在線發(fā)布日期: 2017-01-10
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