Titre : |
An unsupervised method for dominant colour region segmentation in yarn-dyed fabrics |
Type de document : |
texte imprimé |
Auteurs : |
Luo Lin, Auteur ; Si-Jie Shao, Auteur ; Hui-Liang Shen, Auteur ; Xin John H., Auteur |
Année de publication : |
2013 |
Article en page(s) : |
p. 389–397 |
Note générale : |
Bibliogr. |
Langues : |
Anglais (eng) |
Catégories : |
Analyse numérique Imagerie numérique Imagerie tridimensionnelle Impression sur étoffes Teinture -- Fibres textiles vision des couleurs
|
Index. décimale : |
667.3 Teinture et impression des tissus |
Résumé : |
This paper presents a novel unsupervised approach to detect dominant colour regions standing out conspicuously in yarn-dyed fabric images. For a dominant colour region of a yarn-dyed fabric, measured by an imaging system, its individual yarn has an irregular three-dimensional shape resulting in significant colour difference among pixels of the yarn. This difference leads to difficulty in segmenting yarns into dominant colour regions. A probabilistic model is proposed in this study to associate the colour of a dominant colour region with the colours of its yarns. Based on this model, the colour histograms of a dominant colour region are first estimated from those of yarns in a yarn-dyed fabric image. Then, a hierarchical segmentation structure is devised to detect dominant colour regions in the image. Experimental results show that the proposed approach achieves satisfactory performance for dominant colour region segmentation in yarn-dyed fabric images, with high computational efficiency. |
Note de contenu : |
- EXPERIMENTAL : Step : Estimate parameter - Step 2 : Reconstruct the colour histograms of dominant colours - Step 3 : Estimate threshold D - Summary of the segmentation algorithm
- RESULTS AND DISCUSSION : Verification of the probability model - Experimental result using a macro lens and a telephoto lens |
DOI : |
10.1111/cote.12063 |
En ligne : |
http://onlinelibrary.wiley.com/doi/10.1111/cote.12063/pdf |
Format de la ressource électronique : |
Pdf |
Permalink : |
https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=19709 |
in COLORATION TECHNOLOGY > Vol. 129, N° 6 (12/2013) . - p. 389–397