Classification of Rotated and Scaled Textured Images Using Gaussian Markov Random Field Models.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/pami/CohenFP91
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1991
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Classification of Rotated and Scaled Textured Images Using Gaussian Markov Random Field Models.
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dc:
subject
pattern recognition; parameter estimation; rotated textured images; scaled textured images; Gaussian Markov random field models; parent texture classes; training texture images; likelihood function; discrete Fourier transform; white nonstationary Gaussian random field; power spectral density; Cramer-Rao error bounds; modified Bayes decision rule; classification power; Brodatz album; Bayes methods; decision theory; parameter estimation; pattern recognition; random processes
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Classification of Rotated and Scaled Textured Images Using Gaussian Markov Random Field Models.
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