Author :
Ling, Zhang ; Yanping, Zhang ; Hongbin, Fang ; Hang, Zhang
Abstract :
In this paper, we use the relations of quotient space theory and martingale theory to research the iterated function system that is fractal geometry images, and propose these conclusions: Given an irreducible iterated function system {X, wi, pij; i, j = 1, 2, ..., n} , then exists a corresponding chain of quotient space {Wk = (Xk, muk, Fk); k = 1, 2, ...} and a martingale {(muk, Fk); k = 1, 2, ...} on the chain, therefore there are: 1) Assume Pk is a invariant subsets of Wk, P is a invariant subsets of W, then exists limkrarrinfin Pk = P and the convergence is according to Hausdorff distance. 2) Assume muk is a invariant measure of Fk, mu is a invariant measure of F, then exists limkrarrinfin muk = mu. 3) Pk is a support set of muk, P is a support set of mu. Namely we present the quotient approximation theorem about fractal geometry images, and build relations among chain of quotient space, martingale , fractal geometry images and Markovian process.
Keywords :
Markov processes; approximation theory; computational geometry; fractals; image processing; iterative methods; set theory; Hausdorff distance; Markovian process; fractal geometry images; invariant subsets; irreducible iterated function system; martingale theory; quotient approximation theorem; quotient space theory; Computational geometry; Convergence; Extraterrestrial measurements; Fractals; Fuzzy systems; Laboratories; Signal processing; chain of quotient space; fractal geometry; irreducible iterated function system; martingale;