Hierarchical stochastic image grammars for classification and segmentation

Hierarchical stochastic image grammars for classification and segmentation

We develop a new class of hierarchical stochastic image models called spatial random trees (SRTs) which admit polynomial-complexity exact inference algorithms. Our framework of multitree dictionaries is the starting point for this construction. SRTs are stochastic hidden tree models whose leaves are...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 15(2006), 10 vom: 08. Okt., Seite 3033-52
1. Verfasser: Wang, Wiley (VerfasserIn)
Weitere Verfasser: Pollak, Ilya, Wong, Tak-Shing, Bouman, Charles A, Harper, Mary P, Siskind, Jeffrey M
Format: Aufsatz
Sprache:English
Veröffentlicht: 2006
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.