Work

Prior distributions for Bayesian image analysis

Year: 1997

Type: conference-paper

Abstract: In a wide range of disciplines including robot vision, microscopy and material science, it is required to extract objects of interest such as industrial parts, cell structures and minerals from a noisy and blurred image.We will formulate this task as a Bayesian estimation problem, paying particular attention to the choice of the prior distribution, and discuss how Markov chain Monte Carlo techniques can be used for statistical inference.

Source: Data Archiving and Networked Services (DANS)

Authors: Lieshout, Marie-Colette, Mardia, K.V., Gill, C.A., Akroyd, R.G.

Language: English

Topic: Markov Chains and Monte Carlo Methods

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7033371341

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