3D Tracking of Cellulose Fibres in Volume Images

Axelsson, Maria

doi:10.1109/icip.2007.4380016

Cited by 10 publications

(9 citation statements)

References 4 publications

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“…Majority of the methods are based on separating individual fibres from each other. Methods based on analysing the medial axis of fibres [13][14][15][16][17] are often applicable to solid fibres, whereas methods based on recognition of lumen [18][19][20][21] apply to hollow fibres. In the case of natural fibres, processing may break and crush the fibres such that their shape becomes highly irregular (see Figure 1b).…”

Section: Introductionmentioning

confidence: 99%

Non-destructive automatic determination of aspect ratio and cross-sectional properties of fibres

Miettinen

Ojala

Wikström

et al. 2015

Composites Part A: Applied Science and Manufacturing

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A novel method for computerized estimation of the aspect ratio distribution and various cross-sectional geometrical properties of fibres in short-fibre reinforced composites is proposed. The method, based on X-ray microcomputed tomography, is non-destructive and does not require user intervention. Based on results on specially fabricated model material, the accuracy and precision of the method seems adequate. The method is applied in analysing a manufacturing process of wood fibre reinforced thermoplastic composite. The results indicate a significant decrease of the aspect ratio of fibres during the processing steps. Finally, the feasibility of the method is assessed by estimating parameters of a micromechanical model for flax fibre composites and comparing the results with those from tensile tests.

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Section: Introductionmentioning

confidence: 99%

Non-destructive automatic determination of aspect ratio and cross-sectional properties of fibres

Miettinen

Ojala

Wikström

et al. 2015

Composites Part A: Applied Science and Manufacturing

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“…by non global methods that follow individual fibres from seed points. There is a method based on the Radon transform by Axelsson [11], a region growing approach by Svensson and Aronsson [6] and a maximally stable extremal regions based method by Donoser and Bischof [12]. We aim at global segmentation of full volume images, while the tracking methods aims at segmenting one fibre at a time and often require user interaction.…”

Section: Previous and Related Workmentioning

confidence: 99%

Segmentation of Wood Fibres in 3D CT Images Using Graph Cuts

Wernersson

Brun

Hendriks

2009

Image Analysis and Processing – ICIAP 2009

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To completely segment all individual wood fibres in volume images of fibrous materials presents a challenging problem but is important in understanding the micro mechanical properties of composite materials. This paper presents a filter that identifies and closes pores in wood fibre walls, simplifying the shape of the fibres. After this filter, a novel segmentation method based on graph cuts identifies individual fibres. The methods are validated on a realistic synthetic fibre data set and then applied on μCT images of wood fibre composites.

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“…Aronsson () applied an ordered Region Growing (Adams & Bischof, ) algorithm to segment papermaking fibres from a 3D dataset obtained by scanning electron microscopy and microtomy, in which the lumens were grown from user‐selected seed points. Axelsson () presented a similar method for tracking of fibres in their direction of local orientation. Sevensson & Aronsson () later extended their previous work to include the cracks in the fibre walls based on fuzzy connectedness (Udupa & Samarasekera, ).…”

Section: Introductionmentioning

confidence: 99%

Automated segmentation of wood fibres in micro‐CT images of paper

Sharma

Phillion

Martinez

2015

Journal of Microscopy

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A novel algorithm has been developed and validated to isolate individual papermaking fibres in μCT images of paper handsheets as a first step to characterize the structure of paper. The three step fibre segmentation algorithm segments the papermaking fibres by (i) tracking the hollow inside the fibres via a modified connected component methodology, (ii) extracting the fibre walls using a distance transform and (iii) labeling the fibres through collapsed sections by a final refinement step. Further, post processing algorithms have been developed to calculate the length and coarseness of the segmented fibres. The Fibre Segmentation algorithm is the first ever reported method for the automated and robust segmentation of the tortuous 3D morphology of papermaking fibres within microstructural images of paper handsheets. The method is not limited to papermaking fibres, but can be applied to any material consisting of tortuous and hollow fibres.2

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3D Tracking of Cellulose Fibres in Volume Images

Cited by 10 publications

References 4 publications

Non-destructive automatic determination of aspect ratio and cross-sectional properties of fibres

Non-destructive automatic determination of aspect ratio and cross-sectional properties of fibres

Segmentation of Wood Fibres in 3D CT Images Using Graph Cuts

Automated segmentation of wood fibres in micro‐CT images of paper

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