"\u010Cech, Jan" . "RIV/68407700:21230/09:00157044!RIV10-MSM-21230___" . . . . "21230" . . "2" . "000266505900004" . "MRF with asymmetric pairwise compatibility constraints between direct pixel neighbors solves a constrained binary image segmentation task. The model is constraining shape and alignment of individual contiguous binary segments by introducing auxiliary labels and their pairwise interactions. Such representation is not necessarily unique. We study several ad-hoc labeling models for binary images consisting of nonoverlapping rectangular contiguous regions. We observed a noticeable increase in performance even in cases when the differences between the models were seemingly insignificant. We use the proposed models for segmentation of windowpanes and windows in orthographically rectified facade images. We show experimentally that even very weak data model in the MAP formulation of the optimal segmentation problem gives very good segmentation results." . "323183" . . "Languages for Constrained Binary Segmentation Based on Maximum A Posteriori Probability Labeling" . . "computer vision; image interpretation; constrained segmentation; 2D image languages; MRF"@en . . . . . "US - Spojen\u00E9 st\u00E1ty americk\u00E9" . . "P(1ET101210406), R" . "[FABF8EBEA4D1]" . . "Languages for Constrained Binary Segmentation Based on Maximum A Posteriori Probability Labeling" . . "MRF with asymmetric pairwise compatibility constraints between direct pixel neighbors solves a constrained binary image segmentation task. The model is constraining shape and alignment of individual contiguous binary segments by introducing auxiliary labels and their pairwise interactions. Such representation is not necessarily unique. We study several ad-hoc labeling models for binary images consisting of nonoverlapping rectangular contiguous regions. We observed a noticeable increase in performance even in cases when the differences between the models were seemingly insignificant. We use the proposed models for segmentation of windowpanes and windows in orthographically rectified facade images. We show experimentally that even very weak data model in the MAP formulation of the optimal segmentation problem gives very good segmentation results."@en . "19" . "Languages for Constrained Binary Segmentation Based on Maximum A Posteriori Probability Labeling"@en . "RIV/68407700:21230/09:00157044" . . "2"^^ . "Languages for Constrained Binary Segmentation Based on Maximum A Posteriori Probability Labeling"@en . "11"^^ . "\u0160\u00E1ra, Radim" . . . "2"^^ . . . . "International Journal of Imaging Systems and Technology" . "0899-9457" .