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Image identification and segmentation according to random-field models |
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| Authors: | R.L Kashyap P.M Lapsa |
| Affiliation: | a School of Electrical Engineering, Purdue University, West Lafayette, IN 47907, USA b Department of Electrical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA |
| 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. |
| Keywords: | random-field model image identification artificial intelligence |
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