Shen, Yuan and Thönnes, Elke (2006) Efficient proposals in reversible jump MCMC for disk detection. In: International Multiconference of Engineers and Computer Scientists, Kowloon, PEOPLES R CHINA, JUN 20-22, 2006. Published in: IMECS 2006: International Multiconference of Engineers and Computer Scientists pp. 552-557.

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Abstract

Bayesian image analysis is a popular choice to address the uncertainty in an image. Statistical models in this context tend to be complex and require simulation based inference usually using Markov chain Monte Carlo (MCMC). However, MCMC algorithms for such models often suffer from long run-times. In this paper we develop an adaptive MCMC method which is guided by information extracted from the image via a generalized Hough transform. We illustrate the method for a simple disk recognition problem and show how it outperforms a standard MCMC approach.

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Item Type:	Conference Item (UNSPECIFIED)
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TR Photography
Journal or Publication Title:	IMECS 2006: International Multiconference of Engineers and Computer Scientists
Publisher:	INT ASSOC ENGINEERS-IAENG
ISBN:	988-98671-3-3
Editor:	Ao, SI and Lee, JA and Castillo, O and Chaudhuri, P and Feng, DD
Date:	2006
Number of Pages:	6
Page Range:	pp. 552-557
Publication Status:	Published
Title of Event:	International Multiconference of Engineers and Computer Scientists
Location of Event:	Kowloon, PEOPLES R CHINA
Date(s) of Event:	JUN 20-22, 2006
URI:	http://wrap.warwick.ac.uk/id/eprint/32687

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