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Markovian Analysis of Texture: Serial and Parallel Paradigms in Low−Level Vision

Christopher Philip Winder

Abstract

Visual texture is a fertile source of information about the physical environment. Texture models should form rich but accessible descriptions of image composition and appearance. Markovian representations make explicit the variability of natural textures, but manipulation of current models is computationally demanding. This practical limitation enforces approximations and use of the simplified auto-normal form.

Institution
OUCL
Month
May
Number
PRG99
Pages
279
Year
1992