| 1. |
- Almgren, Karin, et al.
(författare)
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Role of fibre-fibre and fibre-matrix adhesion in stress transfer in composites made from resin-impregnated paper sheets.
- 2009
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Ingår i: International Journal of Adhesion and Adhesives. - : Elsevier BV. - 0143-7496 .- 1879-0127. ; 29:5, s. 551-557
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Tidskriftsartikel (refereegranskat)abstract
- Paper-reinforced plastics are gaining increased interest as packaging materials, where mechanical properties are of great importance. Strength and stress transfer in paper sheets are controlled by fibre-fibre bonds. In paper-reinforced plastics, where the sheet is impregnated with a polymer resin, other stress-transfer mechanisms may be more important. The influence of fibre-fibre bonds on the strength of paper-reinforced plastics was therefore investigated. Paper sheets with different degrees of fibre-fibre bonding were manufactured and used as reinforcement in a polymeric matrix. Image analysis tools were used to verify that the difference in the degree of fibre-fibre bonding had been preserved in the composite materials. Strength and stiffness of the composites were experimentally determined and showed no correlation to the degree of fibre-fibre bonding, in contrast to the behaviour of unimpregnated paper sheets. The degree of fibre-fibre bonding is therefore believed to have little importance in this type of material, where stress is mainly transferred through the fibre-matrix interface.
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| 5. |
- Malmberg, Filip, et al.
(författare)
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A 3D live-wire segmentation method for volume images using haptic interaction
- 2006
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Ingår i: DISCRETE GEOMETRY FOR COMPUTER IMAGERY, PROCEEDINGS 4245. ; , s. 663-673
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Konferensbidrag (refereegranskat)abstract
- Designing interactive segmentation methods for digital volume images is difficult, mainly because efficient 3D interaction is muchharder to achieve than interaction with 2D images. To overcome this issue, we use a system that combines stereo graphics and haptics to facilitate efficient 3D interaction. We propose a new method, based on the 2D live-wire method, for segmenting volume images. Our method consists of two parts: an interface for drawing 3D live-wire curves onto the boundary of an object in a volume image, and an algorithm for connecting two such curves to create a discrete surface.
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| 6. |
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| 7. |
- Malmberg, Filip, et al.
(författare)
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Binarization of phase contrast volume images of fibrous materials
- 2009
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Ingår i: Proceedings of the 4th International Conference on Computer Vision Theory and Applications. - : INSTICC Press. - 9789898111692 ; , s. 148-153
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Konferensbidrag (refereegranskat)abstract
- In this paper, we present a method for segmenting phase contrast volume images of fibrous materials into fibre and background. The method is based on graph cut segmentation, and s tested on high resolution X-ray microtomography volume images of wood fibres in paper an composites. The new method produces better results than a standard method based on edge-preserving smoothing and hysteresis thresholding. The most important improvement is that the proposed method handles thick and collapsed fibres more accurately than previous methods.
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| 8. |
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| 9. |
- Malmberg, Filip, et al.
(författare)
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Interactive Segmentation with Relaxed Image Foresting Transforms
- 2009
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Ingår i: Proceedings of SSBA 2009. - 9789163339240
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- The Image Foresting Transform (IFT) is a framework for efficient image partitioning, used in interactive segmentation. We propose a modified version of the IFT, and demonstratethat the modified algorithm is more robust to noise while maintaining computational complexity. We also show an application of the method for interactive segmentation ofback muscles in magnetic resonance images, where seedpoints representing object and background are placed repeatedly until a desired segmentation result is obtained.
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| 10. |
- Malmberg, Filip, 1980-
(författare)
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Segmentation and Analysis of Volume Images, with Applications
- 2008
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Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Digital image analysis is the field of extracting relevant information from digital images. Recent developments in imaging techniques have made 3-dimensional volume images more common. This has created a need to extend existing 2D image analysis tools to handle images of higher dimensions. Such extensions are usually not straightforward. In many cases, the theoretical and computational complexity of a problem increases dramatically when an extra dimension is added. A fundamental problem in image analysis is image segmentation, i.e., identifying and separating relevant objects and structures in an image. Accurate segmentation is often required for further processing and analysis of the image can be applied. Despite years of active research, general image segmentation is still seen as an unsolved problem. This mainly due to the fact that it is hard to identify objects from image data only. Often, some high-level knowledge about the objects in the image is needed. This high-level knowledge may be provided in different ways. For fully automatic segmentation, the high-level knowledge must be incorporated in the segmentation algorithm itself. In interactive applications, a human user may provide high-level knowledge by guiding the segmentation process in various ways. The aim of the work presented here is to develop segmentation and analysistools for volume images. To limit the scope, the focus has been on two specic capplications of volume image analysis: analysis of volume images of fibrousmaterials and interactive segmentation of medical images. The respective image analysis challenges of these two applications will be discussed. While the work has been focused on these two applications, many of the results presented here are applicable to other image analysis problems.
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| 11. |
- Malmberg, Filip, 1980-, et al.
(författare)
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Sub-pixel Segmentation with the Image Foresting Transform
- 2009
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Ingår i: Proceedings of International Workshop on Combinatorial Image Analysis. - Berlin, Heidelberg : Springer. - 9783642102080 ; 5852, s. 201-211
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Konferensbidrag (refereegranskat)abstract
- The Image Foresting Transform (IFT) is a framework forimage partitioning, commonly used for interactive segmentation. Givenan image where a subset of the image elements (seed-points) have beenassigned user-defined labels, the IFT completes the labeling by computingminimal cost paths from all image elements to the seed-points. Eachimage element is then given the same label as the closest seed-point. Inits original form, the IFT produces crisp segmentations, i.e., each imageelement is assigned the label of exactly one seed-point. Here, we proposea modified version of the IFT that computes region boundaries withsub-pixel precision by allowing mixed labels at region boundaries. Wedemonstrate that the proposed sub-pixel IFT allows properties of thesegmented object to be measured with higher precision.
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| 12. |
- Nygård, Per, et al.
(författare)
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Damage Mechanisms in Paper
- 2006
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Ingår i: 2006 Progress in Paper Physics.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)
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| 13. |
- Nyström, Ingela, 1967-, et al.
(författare)
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Segmentation and Visualization of 3D Medical Images through Haptic Rendering
- 2009
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Ingår i: Proceedings of the 10th International Conference on Pattern Recognition and Information Processing (PRIP 2009). - Minsk, Belarus : Publishing Center of BSU. ; , s. 43-48
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Konferensbidrag (refereegranskat)abstract
- High-dimensional and high-resolution image data is increasingly produced by modern medical imaging equipment. As a consequence, the need for efficient interactive tools for segmentation and visualization of these medical images is also increasing. Existing software include state-of-the-art algorithms, but in most cases the interaction part is limited to 2D mouse/keyboard, despite the tasks being highly 3D oriented. This project involves interactive medical image visualization and segmentation, where true 3D interaction is obtained with stereo graphics and haptic feedback. Well-known image segmentation algorithms, e.g., fast marching, fuzzy connectedness, deformable models, and live-wire, have been implemented in a framework allowing the user to interact with the algorithms and the volumetric data in an efficient manner. The data is visualized via multi-planar reformatting, surface rendering, and hardware-accelerated volume rendering. We present a case study where liver segmentation is performed in CT images with high accuracy and precision.
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| 14. |
- Strand, Robin, et al.
(författare)
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Minimal Cost-Path for Path-Based Distances
- 2007
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Ingår i: Proceedings of 5th International Symposium on Image and Signal Processing and Analysis (ISPA 2007). - 9789531841160 ; , s. 379-384
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Konferensbidrag (refereegranskat)abstract
- Distance functions defined by the minimal cost-path using weights and neighbourhood sequences (n.s.) are considered for the constrained distance transform (CDT). The CDT is then used to find one minimal cost-path between two points. The behaviour of some path-based distance functions is analyzed and a new error function is introduced. It is concluded that the weighted n.s.-distance with two weights (3 x 3 neighbourhood) and the weighted distance with three weights (5 x 5 neighbourhood) have similar properties in terms of minimal cost-path computation, while the former is more efficient to compute.
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| 16. |
- Vidholm, Erik, et al.
(författare)
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Läkarens känsel hjälper datorn
- 2009
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Ingår i: Forskning & Framsteg. - 0015-7937. ; :1, s. 62-
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Tidskriftsartikel (populärvet., debatt m.m.)
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