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- W2043184402 abstract "For problem of feature modeling on halftone image, three statistics methods, named gray-level co-occurrence matrix, autocorrelation function and spectrum statistics, are used to extract feature vector of various halftone images. Then, their classification performance is assessed by radial basis function neural network. A mass of experiments show the autocorrelation function is better than other two methods for classification on halftone image." @default.
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- W2043184402 date "2012-11-01" @default.
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- W2043184402 title "Feature Modeling and Classification of Halftone Image Based on Statistical Method" @default.
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- W2043184402 doi "https://doi.org/10.4028/www.scientific.net/amm.229-231.1693" @default.
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