2015
DOI: 10.1177/0040517515595031
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Automated tool to determine geometric measurements of woven textiles using digital image analysis techniques

Abstract: An automated geometric characterization tool for woven textiles is presented. This tool is used to obtain the in-plane geometry of woven textiles in a fast and efficient method. These measurements can be used to provide a better understanding of the textile geometry and can be used in further applications such as quality assurance and textile modeling for prediction of material properties. Unique to this tool is that the use of morphological operations has been avoided, resulting in a significantly more robust… Show more

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Cited by 17 publications
(17 citation statements)
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“…These workflows focus on the acquisition of specific data, i.e. optical [47][48][49] and constructional [50], and numerical approaches to extract meaningful information on different levels in dependence of the further data implementation. Following these foundations, various illumination conditions at photo acquisition (the combination of two diffuse, left and right, and one direct light) were analysed in the workflow of our research, followed by two phases of image processing (histogram equalisation and rolling ball algorithm).…”
Section: Work-flow For Visualisation Of Irregular Cloth Surfacementioning
confidence: 99%
“…These workflows focus on the acquisition of specific data, i.e. optical [47][48][49] and constructional [50], and numerical approaches to extract meaningful information on different levels in dependence of the further data implementation. Following these foundations, various illumination conditions at photo acquisition (the combination of two diffuse, left and right, and one direct light) were analysed in the workflow of our research, followed by two phases of image processing (histogram equalisation and rolling ball algorithm).…”
Section: Work-flow For Visualisation Of Irregular Cloth Surfacementioning
confidence: 99%
“…22 The images of the fabric were taken using a standard SLR camera (Sony DSLR-A200) equipped with a N50 lens. Using an inexpensive conventional camera rather than a scanner 25 will allow extension of the image acquisition method to the general three-dimensional case in the future. To achieve a sufficiently high image resolution, six overlapping images were taken at a high magnification using a positioning frame.…”
Section: Image Acquisitionmentioning
confidence: 99%
“…Automatically analysing edges of visible, small bundle segments in this work allows in-plane bundle waviness and small local width changes to be determined. Methods which fit higher order polynomials to the determined edges of longer bundle lengths 25,26 may not capture these small changes. The implemented analysis method of the spatial domain provides detailed information on local yarn path orientations and yarn width changes which cannot be determined when analysing images in the frequency domain, e.g.…”
Section: Introductionmentioning
confidence: 99%
“…These images were analysed using the image analysis method previously described in Swery et al 23 The textile images used had a resolution of 23.8 pixels per mm and, as a result, features larger than 0.042 mm were able to be captured. For this reinforcing textile, this level of accuracy was sufficient.…”
Section: Textile Data Using Image Analysismentioning
confidence: 99%