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- W2091245448 abstract "Abstract Some images have texture variations which are most easily characterized by random-field models. The identification of the model which evoked a given such image is described. The method involves a readily computable criterion which is a refinement of those previously used for image identification. The general method is also shown to be suitable for the more specialized problem of image segmentation, a preprocessing operation fundamental to many techniques in artificial intelligence." @default.
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- W2091245448 date "1983-11-01" @default.
- W2091245448 modified "2023-09-27" @default.
- W2091245448 title "Image identification and segmentation according to random-field models" @default.
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- W2091245448 doi "https://doi.org/10.1016/0262-8856(83)90018-5" @default.
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