Parameter estimation of mean field annealing technique

Kwanghoon Sohn, Jung H. Kim

Research output: Contribution to journalConference articlepeer-review


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
EventProceedings of the 1997 IEEE SOUTHEASTCON - Blacksburg, VA, USA
Duration: 1997 Apr 121997 Apr 14

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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