Basic and Fine Structure of Pairwise Interactions in Gibbs Texture Models

作者: Georgy Gimel’farb

DOI: 10.1007/3-540-44522-6_77

关键词:

摘要: Gibbs models with multiple pairwise pixel interactions permit us to estimate characteristic interaction structures of spatially homogeneous image textures. Interactions partial energies over a particular threshold form basic structure that is sufficient model specific group stochastic Another group, referred here as regular textures, permits reduce the in size, providing only few primary are responsible for this structure. If can be considered statistically independent, sequential learning scheme reduces and complements it fine describing minor details texture. Whereas textures described more precisely by structures, search may deteriorate

参考文章(4)
Anil Jain, Markov random fields : theory and application Boston: Academic Press. ,(1993)
G.L. Gimel'farb, Texture modeling by multiple pairwise pixel interactions IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 18, pp. 1110- 1114 ,(1996) , 10.1109/34.544081
Georgy L. Gimel’farb, Image Textures and Gibbs Random Fields ,(1999)