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- W2390644975 abstract "A chironomid larvae images recognition method based on wavelet energy feature and improved KNN is developed. Wavelet decomposition and color information entropy are selected to construct vectors for KNN that is used to classify of the images. The distance function is modified according to the weight determined by the correlation degree between feature and class,which effectively improves classification accuracy. The result shows the mean accuracy of classification rate is up to 95.41% for freshwater plankton images,such as chironomid larvae,cyclops and harpacticoida." @default.
- W2390644975 created "2016-06-24" @default.
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- W2390644975 date "2009-01-01" @default.
- W2390644975 modified "2023-09-25" @default.
- W2390644975 title "Study on Chironomid Larvae Recognition Based on DWT and Improved KNN" @default.
- W2390644975 hasPublicationYear "2009" @default.
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