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Sökning: LAR1:uu > Lantbruksvetenskap > Konferensbidrag

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  • Selig, Bettina, 1982-, et al. (författare)
  • Segmentation of Highly Lignified Zones in Wood Fiber Cross-Sections
  • 2009
  • Ingår i: Proceedings of the 16th Scandinavian Conference on Image Analysis (SCIA). - Heidelberg : Springer Berlin. - 9783642022296 ; 5575, s. 369-378
  • Konferensbidrag (refereegranskat)abstract
    • Lignification of wood fibers has important consequences tothe paper production, but its exact effects are not well understood. Tocorrelate exact levels of lignin in wood fibers to their mechanical proper-ties, lignin autofluorescence is imaged in wood fiber cross-sections. Highlylignified areas can be detected and related to the area of the whole cellwall. Presently these measurements are performed manually, which is te-dious and expensive. In this paper a method is proposed to estimate thedegree of lignification automatically. A multi-stage snake-based segmen-tation is applied on each cell separately. To make a preliminary evaluationwe used an image which contained 17 complete cell cross-sections. Thisimage was segmented both automatically and manually by an expert.There was a highly significant correlation between the two methods, al-though a systematic difference indicates a disagreement in the definitionof the edges between the expert and the algorithm.
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  • Wernersson, Erik, 1984-, et al. (författare)
  • Generating synthetic μCT images of wood fibre materials
  • 2009
  • Ingår i: Proc. 6th International Symposium on Image and Signal Processing and Analysis. - Piscataway, NJ : IEEE. - 9789531841351 ; , s. 365-370
  • Konferensbidrag (refereegranskat)abstract
    • X-ray Computerized Tomography at micrometer resolution (μCT) is an important tool for understanding the properties of wood fibre materials such as paper, carton and wood fibre composites. While many image analysis methods have been developed for μCT images in wood science, the evaluation of these methods if often not thorough enough because of the lack of a dataset with ground truth. This paper describes the generation of synthetic μCT volumes of wood fibre materials. Fibres with a high degree of morphological variations are modeled and densely packed into a volume of the material. Using a simulation of the μCT image acquisition process, realistic synthetic images are obtained. This simulation uses noise characterized from a set of μCT images. The synthetic images have a known ground truth, and can therefore be used when evaluating image analysis methods.
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  • Wernersson, Erik, 1984-, et al. (författare)
  • Segmentation of Wood Fibres in 3D CT Images Using Graph Cuts
  • 2009
  • Ingår i: Image Analysis and Processing – ICIAP 2009. - Berlin : Springer-Verlag. - 9783642041457 ; 5716, s. 92-102
  • Konferensbidrag (refereegranskat)abstract
    • 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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