EXTRACTING PRINTED DESIGNS AND WOVEN PATTERNS FROM TEXTILE IMAGES
english

2009 Proceedings of the Fourth International Conference on Computer Vision Theory and Applications   unpublished
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 α−expansion and iterated conditional modes, both with and without parameter reestimation. Results are promising for
more » ... omising for potential application to content-based indexing and browsing.
doi:10.5220/0001800702010208 fatcat:5zgsxzvfxbbknoc4msh4i7eq4q