Parameter estimation of mean field annealing technique

Kwanghoon Sohn, Jung H. Kim

Research output: Contribution to journalConference article

Abstract

We propose a method of parameter estimation using order-of-magnitude analysis for optimal boundary smoothing in Mean Field Annealing(MFA) technique in this paper. The MFA method smooths out the noise without losing sharpness of corners. However, the MFA algorithm is influenced by several parameters such as standard deviation of the noise, the relative magnitude of prior term, initial temperature and final temperature. We propose a general parameter estimation method for optimal boundary smoothing using order-of-magnitude analysis to be used for consistent image representation. In addition, we prove the effectiveness of our parameter estimation and also show the temperature parameter sensitivities of the algorithm in this paper.

Original languageEnglish
Pages (from-to)215-219
Number of pages5
JournalConference Proceedings - IEEE SOUTHEASTCON
Publication statusPublished - 1997 Jan 1

Fingerprint

Parameter estimation
Annealing
Temperature

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

@article{3f5fcf2a4e2242048ec50cddf3aa1991,
title = "Parameter estimation of mean field annealing technique",
abstract = "We propose a method of parameter estimation using order-of-magnitude analysis for optimal boundary smoothing in Mean Field Annealing(MFA) technique in this paper. The MFA method smooths out the noise without losing sharpness of corners. However, the MFA algorithm is influenced by several parameters such as standard deviation of the noise, the relative magnitude of prior term, initial temperature and final temperature. We propose a general parameter estimation method for optimal boundary smoothing using order-of-magnitude analysis to be used for consistent image representation. In addition, we prove the effectiveness of our parameter estimation and also show the temperature parameter sensitivities of the algorithm in this paper.",
author = "Kwanghoon Sohn and Kim, {Jung H.}",
year = "1997",
month = "1",
day = "1",
language = "English",
pages = "215--219",
journal = "Conference Proceedings - IEEE SOUTHEASTCON",
issn = "0734-7502",

}

Parameter estimation of mean field annealing technique. / Sohn, Kwanghoon; Kim, Jung H.

In: Conference Proceedings - IEEE SOUTHEASTCON, 01.01.1997, p. 215-219.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Parameter estimation of mean field annealing technique

AU - Sohn, Kwanghoon

AU - Kim, Jung H.

PY - 1997/1/1

Y1 - 1997/1/1

N2 - We propose a method of parameter estimation using order-of-magnitude analysis for optimal boundary smoothing in Mean Field Annealing(MFA) technique in this paper. The MFA method smooths out the noise without losing sharpness of corners. However, the MFA algorithm is influenced by several parameters such as standard deviation of the noise, the relative magnitude of prior term, initial temperature and final temperature. We propose a general parameter estimation method for optimal boundary smoothing using order-of-magnitude analysis to be used for consistent image representation. In addition, we prove the effectiveness of our parameter estimation and also show the temperature parameter sensitivities of the algorithm in this paper.

AB - We propose a method of parameter estimation using order-of-magnitude analysis for optimal boundary smoothing in Mean Field Annealing(MFA) technique in this paper. The MFA method smooths out the noise without losing sharpness of corners. However, the MFA algorithm is influenced by several parameters such as standard deviation of the noise, the relative magnitude of prior term, initial temperature and final temperature. We propose a general parameter estimation method for optimal boundary smoothing using order-of-magnitude analysis to be used for consistent image representation. In addition, we prove the effectiveness of our parameter estimation and also show the temperature parameter sensitivities of the algorithm in this paper.

UR - http://www.scopus.com/inward/record.url?scp=0030706281&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030706281&partnerID=8YFLogxK

M3 - Conference article

SP - 215

EP - 219

JO - Conference Proceedings - IEEE SOUTHEASTCON

JF - Conference Proceedings - IEEE SOUTHEASTCON

SN - 0734-7502

ER -