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- W2379015890 abstract "This paper proposes an approach to segment the jacquard warp-knitted fabric image based on jacquard fabric characteristics and Markov random field theory.A Gaussian low-pass filter is adopted to decrease the noise caused by discordant light reflection due to the uneven jacquard fabric surface during scanning procedure,followed by multiresolution wavelet decomposition by Harr wavelet to simulate the process of the human visual system.Next a finite general model is presented to approximate the wavelet coefficients in feature field,containing the noise with zero-mean Gaussian distribution to describe the noise in jacquard warp-knitted fabric image.And inter-scale non-cause MRF and intra-scale cause MRF are used to construct the prior model in label field model.Then the Bayes theory is used to segment the image.The experiment results prove that the approach is feasible and applicable." @default.
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- W2379015890 date "2012-01-01" @default.
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- W2379015890 title "Segmentation of jacquard warp-knitted fabric image based on hierarchical Markov random field model" @default.
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