Modeling and estimation for a class of multiresolution random fields

Autor:	Peyman Milanfar, R. B. Washburn, Alan S. Willsky, Robert R. Tenney
Rok vydání:	2002
Předmět:	Random field Estimation theory Stochastic process business.industry System identification Midpoint Least squares Object detection Fractal Computer vision Artificial intelligence business Algorithm Mathematics
Zdroj:	ICIP (3)
Popis:	Discusses a class of multiresolution models of random fields based on a generalization of the midpoint deflection construction of the 1D Brownian motion. The authors then present least squares (LS) algorithms for the estimation of parameters which define these models and hence provide a framework for synthesizing and analyzing images with fractal-like properties such as those found in statistical representation of natural terrain and other geophysical phenomena. The authors also briefly discuss possible applications of this modeling framework to target detection in images. >
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::438dbdd1b0feed59ce74c151e0401f45 https://doi.org/10.1109/icip.1994.413819 Zobrazit plný text záznamu