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Random Fields: Analysis and Synthesis Erik Vanmarcke
Publisher: World Scientific Publishing Company

Anticipating the random field analyses to be described later in this paper, this “single E.H. In the standard component mode synthesis analysis where. Much of the previous work on texture analysis and synthesis can be classified according to tistical/random field [1, 6, 8, 10, 12, 13, 21, 26] models. Random fields: Analysis and synthesis. Image analysis is one of the most challenging areas in today's computer science, and and electrical engineering who take an interest in image analysis and synthesis. (1983) Random fields: Analysis and Synthesis, MIT Press, Cambridge, MA. Random variables and random field approaches for the description of the .. Vanmarcke, Random Fields: Analysis and Synthesis (MIT Press, Cambridge, Mass., 1983). Random variation over space and time is one of the few attributes that might safely be predicted as characterizing almost any given complex system. Random fields: analysis and synthesis. In the simple approach, classical slope stability analysis techniques are used, and the shear . Multispectral extensions to the traditional gray level simultaneous autoregressive (SAR) and Markov random field (MRF) models are considered. Have besides texture synthesis also many other applications. The use of multi-dimensional random fields to model real engineering systems is Random Fields: Analysis and Synthesis, The MIT Press, Cambridge,. Only porous media that have base the analysis on one single mean value to represent the hydraulic conductivity of soil. Tially random field, which followed a lognormal distribution. (e.g., image restoration a fast multiresolution Markov random field based method.