Statistical-mechanical algorithm in MRF model based on variational principle

Kazuyuki Tanaka, Mikako Ichioka, Tohru Morita

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The Markov random field (MRF) model, which is a method in the image restoration, is reformulated, based on the variational principle of the difference minimum between the original and damaged image datas, under the constraints for the area of black faces, the boundary length between the different darkness and the number of corners in the edge. Moreover, a new method is proposed for the estimation of the areas of black faces, the boundary length between the different darkness and the number of corners in the edge from only the damaged image.

Original languageEnglish
Title of host publicationTrack B
Subtitle of host publicationPattern Recognition and Signal Analysis
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages381-388
Number of pages8
ISBN (Print)081867282X, 9780818672828
DOIs
Publication statusPublished - 1996 Jan 1
Externally publishedYes
Event13th International Conference on Pattern Recognition, ICPR 1996 - Vienna, Austria
Duration: 1996 Aug 251996 Aug 29

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume2
ISSN (Print)1051-4651

Other

Other13th International Conference on Pattern Recognition, ICPR 1996
Country/TerritoryAustria
CityVienna
Period96/8/2596/8/29

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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