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James Crowley and Alice Parker
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algorithm applied approximation array assignment binary bits cells character characteristic functions classification clustering coding computer vision consider consistent labeling constraints corresponding covariance data compression defined described detection digital filter dimensional discrete discriminant functions disks edge edge detection encoding enhancement equation error example feature Figure frequency Gaussian given grains grey level Haralick hijk homomorphism horizontal hypercube IEEE Trans illustrates image analysis image data image processing imagery iteration labeling problem matching Mathematical Morphology Matheron maximum likelihood measurements method multispectral n-grams N-tuple neighborhood neighboring node noise object obtained output parameter Pattern Recognition picture pixel polynomial principal components principal components analysis procedure projection recognition classes relaxation processes remote sensing representation represented Rosenfeld samples scanning scene segments sequence Serra skeleton space spatial spectral structure techniques texture tion track transfer function transformation tree search Ullmann unit-label variogram vector vertical zones Zucker