2015
DOI: 10.1117/1.jei.24.6.061113
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Orientation-guided two-scale approach for the segmentation and quantitative description of woven bundles of fibers from three-dimensional tomographic images

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Cited by 4 publications
(5 citation statements)
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“…In the case of small contact zones, the tows can be separated by identifying isolated tow sections and by joining these sections across the contact zones [29]. Another possibility is to determine the planes between the plies by analyzing the matrix distribution in the REV [40].…”
Section: Separation Of Parallel Towsmentioning
confidence: 99%
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“…In the case of small contact zones, the tows can be separated by identifying isolated tow sections and by joining these sections across the contact zones [29]. Another possibility is to determine the planes between the plies by analyzing the matrix distribution in the REV [40].…”
Section: Separation Of Parallel Towsmentioning
confidence: 99%
“…The labelling of the tows presents the challenge of identifying the contact zones between parallel tows. Topological information on the weaving pattern or the tow shapes may be needed [24,29]. The difficulty of the problem increases with the number of contact zones, or the compactness of the reinforcement.…”
Section: Introductionmentioning
confidence: 99%
“…For simple fabrics, it is sufficient to exploit this information alone [26], or combined with other statistical descriptors [27,28], to extract each yarn individually. However, for more complex cases, individual yarns still have to be separated and labeled: a sole use of image-based information leads to topological inconsistencies [29]. This is for example the case when two yarns of the same direction merge into a single entity (see e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Yet, heuristics developed to arbitrarily separate the connected entities will not necessarily ensure to obtain a topologically correct model, even using ad hoc approaches (see e.g. [29]). This caveat illustrates the difficulty to conciliate image-based data with a continuous description of the yarns geometry.…”
Section: Introductionmentioning
confidence: 99%
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