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Extracting printed designs and woven patterns from textile images

Extracting printed designs and woven patterns from textile images

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Original languageEnglish
TitleVISAPP 2009
Subtitleproceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009
EditorsAlpesh Ranchordas, Helder Araujo
Place of publicationSetubal
PublisherInstitute for Systems and Technologies of Information, Control and Communication
Publication date2009
Pages201-208
Number of pages8
Volume1
ISBN (Print)9789898111692
StatePublished

Conference

Conference4th International Conference on Computer Vision Theory and Applications
CountryPortugal
CityLisbon
Period5/02/098/02/09
Internet addresshttp://www.visapp.visigrapp.org/VISAPP2009/

Abstract

The extraction of printed designs and woven patterns from textiles is formulated as a pixel labelling problem. Algorithms based on Markov random field (MRF) optimisation and reestimation are described and evaluated on images from an historical fabric archive. A method for quantitative evaluation is presented and used to compare the performance of MRF models optimised using alpha-expansion and iterated conditional modes, both with and without parameter reestimation. Results are promising for potential application to content-based indexing and browsing.

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