An efficient method for solid-colour and multicolour region segmentation in real yarn-dyed fabric images / Lin Luo in COLORATION TECHNOLOGY, Vol. 131, N° 2 (04/2015)  

[article]  inCOLORATION TECHNOLOGY > Vol. 131, N° 2 (04/2015) . - p. 120-130 Titre : An efficient method for solid-colour and multicolour region segmentation in real yarn-dyed fabric images Type de document : texte imprimé Auteurs : Lin Luo, Auteur ; Hui-Liang Shen, Auteur ; Si-Jie Shao, Auteur ; Xin John H., Auteur Année de publication : 2015 Article en page(s) : p. 120-130 Note générale : Bibliogr. Langues : Anglais (eng) Catégories : Analyse spectrale Colorimétrie Imagerie (technique) Teinture -- Fibres textiles Index. décimale : 667.3 Teinture et impression des tissus Résumé : This paper presents an efficient approach to solid-colour and multicolour region segmentation in real yarn-dyed fabric images. The approach is based on a novel model describing the spectral response of a multispectral imaging system to yarn-dyed fabrics. The model indicates that solid-colour regions cannot be distinguished from multicolour regions in terms of reflectance, tristimulus, or CIELAB values owing to a geometric term representing the influence of fabric surface condition on measured colours. The geometric term makes it difficult to determine the segmentation thresholds of CIEXYZ and CIELAB colour histograms. However, solid-colour and multicolour regions can be detected in CIExyY space because chromaticity coordinates are impervious to the geometric term. The CIExyY histograms of a solid-colour region accord with one Gaussian distribution, but those of a multicolour region accord with a combination of two Gaussian distributions. The CIEXYZ, CIELAB, and CIExyY colour distributions of both solid-colour and multicolour yarn-dyed fabrics were analysed in detail in simulation and real experiments. Experimental results show that solid-colour yarn-dyed regions can be distinguished from multicolour yarn-dyed fabric regions by the shapes of CIExyY histograms, but cannot be distinguished by the shapes of CIEXYZ or CIELAB histograms. Note de contenu : - EXPERIMENTAL : Spectral response of a multispectral imaging system to a yarn-dyed fabric - Colour in CIEXYZ and CIELAB spaces - The chromaticity coordinates - The method for segmentation of solid-colour and multicolour regions - RESULTS AND DISCUSSION : The multispectral imaging system - Simulation experiment - Experiment on real samples DOI : 10.1111/cote.12131 En ligne : https://onlinelibrary.wiley.com/doi/epdf/10.1111/cote.12131 Format de la ressource électronique : Pdf Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=23670 [article]

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An unsupervised method for dominant colour region segmentation in yarn-dyed fabrics / Luo Lin in COLORATION TECHNOLOGY, Vol. 129, N° 6 (12/2013)  

[article]  inCOLORATION TECHNOLOGY > Vol. 129, N° 6 (12/2013) . - p. 389–397 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 [article]

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Colour matching comparison between spectrophotometric and multispectral imaging measurements / Lin Luo in COLORATION TECHNOLOGY, Vol. 132, N° 1 (02/2016)  

[article]  inCOLORATION TECHNOLOGY > Vol. 132, N° 1 (02/2016) . - p. 17-21 Titre : Colour matching comparison between spectrophotometric and multispectral imaging measurements Type de document : texte imprimé Auteurs : Lin Luo, Auteur ; Hui-Liang Shen, Auteur ; Si-Jie Shao, Auteur ; Xin John H., Auteur Année de publication : 2016 Article en page(s) : p. 17-21 Note générale : Bibliogr. Langues : Anglais (eng) Catégories : Analyse spectrale Colorimétrie Etudes comparatives Imagerie (technique) Spectrophotométrie Teinture -- Fibres textiles vision des couleurs Index. décimale : 667.3 Teinture et impression des tissus Résumé : This paper compares colour matching of yarn-dyed fabrics by spectrophotometric and multispectral imaging techniques. While it is well known that multispectral imaging systems can measure the colour of fabrics that cannot be acquired by spectrophotometers, comparison of these two types of instrument has not yet been well explored. Colour measurements of 44 pairs of standard and batch solid-colour yarn-dyed fabrics by means of a Datacolor 650 spectrophotometer and an imaging colour measurement (ICM) multispectral imaging system were compared. Experimental results show that the ICM system has the capability to measure similar hue a* differences and larger lightness L* and hue b* differences than the Datacolor 650 spectrophotometer. When the tolerance of colour matching is set to 1.0 CMC(2:1) (colour difference) unit, the ICM system can achieve the same colour matching results as the Datacolor 650 spectrophotometer, except for two dark samples. Note de contenu : - EXPERIMENTAL : Sample preparation - Spectrophotometric measurements - Multispectral imaging measurements - RESULTS AND DISCUSSION : Lightness difference - Hue difference - Colour matching comparison DOI : 10.1111/cote.12191 En ligne : http://onlinelibrary.wiley.com/doi/10.1111/cote.12191/pdf Format de la ressource électronique : Pdf Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=25575 [article]

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A multispectral imaging approach to colour measurement and colour matching of single yarns without winding / Lin Luo in COLORATION TECHNOLOGY, Vol. 131, N° 4 (08/2015)  

[article]  inCOLORATION TECHNOLOGY > Vol. 131, N° 4 (08/2015) . - p. 342-351 Titre : A multispectral imaging approach to colour measurement and colour matching of single yarns without winding Type de document : texte imprimé Auteurs : Lin Luo, Auteur ; Hui-Liang Shen, Auteur ; Si-Jie Shao, Auteur ; Xin John H., Auteur Année de publication : 2015 Article en page(s) : p. 342-351 Note générale : Bibliogr. Langues : Anglais (eng) Catégories : Colorimétrie Fil Imagerie (technique) Spectroscopie de réflectance Teinture -- Fibres textiles Index. décimale : 667.3 Teinture et impression des tissus Résumé : This paper investigates a multispectral imaging approach to colour measurement and colour matching of single yarns. The small size of a single yarn makes it impossible for spectrophotometers directly to acquire its spectral reflectance. Multispectral imaging systems, on the other hand, have the potential to measure the reflectance of single yarns as they can record both the spectral and the spatial information of a sample. A multispectral imaging system, namely imaging colour measurement, has been developed to conduct colour measurement of single yarns. A single yarn is first detected from backgrounds by a modified K-means clustering method. The reflectance of the single yarn is then specified by an averaging method. Comparative experiments based on 100 pairs of single yarns and corresponding yarn windings show that the reflectance magnitude of a single yarn acquired by imaging colour measurement is smaller than that of corresponding yarn winding measured by a Datacolor 650 spectrophotometer. Experiments on 16 single yarns show that the repeatability and spatial reproducibility of the imaging colour measurement system in measuring a single yarn colour are 0.1185 and 0.2827 CMC(2:1) units. A colour matching comparison experiment (pass or fail), using 24 pairs of single yarns and corresponding pairs of solid-colour yarn dyed fabrics, shows that single yarns measured by imaging colour measurement can achieve similar colour matching results to solid-colour yarn dyed fabrics measured by the Datacolor 650 spectrophotometer, with degrees of similarity of 87.5 and 83.3% when the CMC(2:1) and CIE2000(2:1:1) colour difference formulas are employed. Note de contenu : - EXPERIMENTAL : Step 1 : Segment single yarns from backgrounds - Step 2 : Specify the reflectance of single yarns - RESULTS AND DISCUSSION : Multispectral imaging system introduction - Colour measurement comparison between single yarns and corresponding yarn windings - Repeatability and spatial reproducibility - Instrumental colour matching experiment DOI : 10.1111/cote.12162 En ligne : https://onlinelibrary.wiley.com/doi/epdf/10.1111/cote.12162 Format de la ressource électronique : Pdf Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=24435 [article]

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A novel method for weft and warp yarn segmentation in multicolour yarn-dyed fabric images / Lin Luo in COLORATION TECHNOLOGY, Vol. 131, N° 2 (04/2015)

[article]  inCOLORATION TECHNOLOGY > Vol. 131, N° 2 (04/2015) . - p. 165-171 Titre : A novel method for weft and warp yarn segmentation in multicolour yarn-dyed fabric images Type de document : texte imprimé Auteurs : Lin Luo, Auteur ; Hui-Liang Shen, Auteur ; Si-Jie Shao, Auteur ; Xin John H., Auteur Année de publication : 2015 Article en page(s) : p. 165-171 Note générale : Bibliogr. Langues : Anglais (eng) Tags : Trame  'Fils  de  chaine'  Segmentation  teints  multicolores'  Imagerie Index. décimale : 667.2 Colorants et pigments Résumé : This paper proposes a novel method for segmentation of weft and warp yarns in multicolour yarn-dyed fabric images. A multicolour yarn-dyed fabric is cross-woven by weft and warp yarns with different colours. When a multispectral imaging system is used to measure the colour of a multicolour yarn-dyed fabric image, its weft and warp yarns need to be detected before analysing their colours. Detection of interstices between weft and warp yarns is firstly conducted. A modified K-means clustering approach is then utilised to separate weft and warp yarns. The number of clusters is fixed to 2. The metric to measure the distance between a pixel and the mean of a cluster is the CIELAB colour difference. The initial means are determined by the expected values of fitted Gaussian distributions to CIExyY colour histograms. Experimental results show that the proposed method is promising for the segmentation of weft and warp yarns in multicolour yarn-dyed fabrics, with an improved segmentation accuracy and much faster processing speed than K-means clustering in CIEXYZ and CIELAB spaces. Note de contenu : - The response of multispectral imaging system - Interstice detection - Modified K-means clustering DOI : 10.1111/cote.12130 Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=23689 [article]

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