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- W2364013524 abstract "A new combinational feature extraction method is introduced in the paper,which can efficiently describe the structure and region shape of wines' particles in micrograph,and the classification of Chinese wines based on the micrograph is also studied.First,the micrographs are enhanced using total variation filter,and segmented using relative entropy threshold.Then 26 features of the shape and structure are extracted using proposed method in the paper,including the sum,average value and variance of the regions' area,perimeter and moments,as well as the eccentricity and circularity of the biggest five regions,and the total number of all regions.Finally,Chinese wine classification system based on micrograph using combination of shape and structure features and BP neural network have been presented.The authors compare the recognition results for different choices of features(traditional shape features or proposed features).The experimental results show that the better classification rate has been achieved using the combinational features proposed in this paper,and the classification rate is over 95%." @default.
- W2364013524 created "2016-06-24" @default.
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- W2364013524 date "2011-01-01" @default.
- W2364013524 modified "2023-09-23" @default.
- W2364013524 title "Classification Method of Chinese Wine Based on Shape and Structure Features" @default.
- W2364013524 hasPublicationYear "2011" @default.
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