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Sökning: WFRF:(Luengo Cris)

  • Resultat 1-10 av 69
  • [1]234567Nästa
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  • Selig, Bettina, et al. (författare)
  • Automatic measurement of compression wood cell attributes in fluorescence microscopy images
  • 2012
  • Ingår i: Journal of Microscopy. - : Wiley: 12 months. - 0022-2720 .- 1365-2818. ; 246, s. 298-308
  • Tidskriftsartikel (refereegranskat)abstract
    • This paper presents a new automated method for analyzing compression wood fibers in fluorescence microscopy. Abnormal wood known as compression wood is present in almost every softwood tree harvested. Compression wood fibers show a different cell wall morphology and chemistry compared to normal wood fibers, and their mechanical and physical characteristics are considered detrimental for both construction wood and pulp and paper purposes. Currently there is the need for improved methodologies for characterization of lignin distribution in wood cell walls, such as from compression wood fibers, that will allow for a better understanding of fiber mechanical properties. Traditionally, analysis of fluorescence microscopy images of fiber cross-sections has been done manually, which is time consuming and subjective. Here, we present an automatic method, using digital image analysis, that detects and delineates softwood fibers in fluorescence microscopy images, dividing them into cell lumen, normal and highly lignified areas. It also quantifies the different areas, as well as measures cell wall thickness. The method is evaluated by comparing the automatic with a manual delineation. While the boundaries between the various fiber wall regions are detected using the automatic method with precision similar to inter and intra expert variability, the position of the boundary between lumen and the cell wall has a systematic shift that can be corrected. Our method allows for transverse structural characterization of compression wood fibers, which may allow for improved understanding of the micro-mechanical modeling of wood and pulp fibers.
  • Miettinen, Arttu, et al. (författare)
  • A non-destructive X-ray microtomography approach for measuring fibre length in short-fibre composites
  • 2012
  • Ingår i: Composites Science And Technology. - : Elsevier. - 0266-3538 .- 1879-1050. ; 72:15, s. 1901-1908
  • Tidskriftsartikel (refereegranskat)abstract
    • An improved method based on X-ray microtomography is developed for estimating fibre length distribution of short-fibre composite materials. In particular, a new method is proposed for correcting the biasing effects caused by the finite sample size as defined by the limited field of view of the tomographic devices. The method is first tested for computer generated fibre data and then applied in analyzing the fibre length distribution in three different types of wood fibre reinforced composite materials. The results were compared with those obtained by an independent method based on manual registration of fibres in images from a light microscope. The method can be applied in quality control and in verifying the effects of processing parameters on the fibre length and on the relevant mechanical properties of short fibre composite materials, e.g. stiffness, strength and fracture toughness.
  • Asplund, Teo, et al. (författare)
  • A New Approach to Mathematical Morphology on One Dimensional Sampled Signals
  • 2016
  • Ingår i: IEEE Proceedings, International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, 2016. - Piscataway, NJ : IEEE Communications Society. - 9781509048472
  • Konferensbidrag (refereegranskat)abstract
    • We present a new approach to approximate continuous-domain mathematical morphology operators. The approach is applicable to irregularly sampled signals. We define a dilation under this new approach, where samples are duplicated and shifted according to the flat, continuous structuring element. We define the erosion by adjunction, and the opening and closing by composition. These new operators will significantly increase precision in image measurements. Experiments show that these operators indeed approximate continuous-domain operators better than the standard operators on sampled one-dimensional signals, and that they may be applied to signals using structuring elements smaller than the distance between samples. We also show that we can apply the operators to scan lines of a two-dimensional image to filter horizontal and vertical linear structures.
  • Asplund, Teo, et al. (författare)
  • Mathematical Morphology on Irregularly Sampled Data in One Dimension
  • 2017
  • Ingår i: Noggranna bildbaserade mätningar genom oregelbunden sampling. - : De Gruyter Open. ; 2:1, s. 1-24
  • Tidskriftsartikel (refereegranskat)abstract
    • Mathematical morphology (MM) on grayscale images is commonly performed in the discretedomain on regularly sampled data. However, if the intention is to characterize or quantify continuousdomainobjects, then the discrete-domain morphology is affected by discretization errors that may bealleviated by considering the underlying continuous signal, given a correctly sampled bandlimited image.Additionally, there are a number of applications where MM would be useful and the data is irregularlysampled. A common way to deal with this is to resample the data onto a regular grid. Often this createsproblems where data is interpolated in areas with too few samples. In this paper, an alternative way ofthinking about the morphological operators is presented. This leads to a new type of discrete operatorsthat work on irregularly sampled data. These operators are shown to be morphological operators thatare consistent with the regular, morphological operators under the same conditions, and yield accurateresults under certain conditions where traditional morphology performs poorly
  • Asplund, Teo, et al. (författare)
  • Mathematical Morphology on Irregularly Sampled Signals
  • 2017
  • Ingår i: ; , s. 506-520
  • Konferensbidrag (refereegranskat)abstract
    • This paper introduces a new operator that can be used to approximate continuous-domain mathematical morphology on irregularly sampled surfaces. We define a new way of approximating the continuous domain dilation by duplicating and shifting samples according to a flat continuous structuring element. We show that the proposed algorithm can better approximate continuous dilation, and that dilations may be sampled irregularly to achieve a smaller sampling without greatly compromising the accuracy of the result.
  • Bernander, Karl B., et al. (författare)
  • Improving the stochastic watershed
  • 2013
  • Ingår i: Pattern Recognition Letters. - : Elsevier. - 0167-8655 .- 1872-7344. ; 34:9, s. 993-1000
  • Tidskriftsartikel (refereegranskat)abstract
    • The stochastic watershed is an unsupervised segmentation tool recently proposed by Angulo and Jeulin. By repeated application of the seeded watershed with randomly placed markers, a probability density function for object boundaries is created. In a second step, the algorithm then generates a meaningful segmentation of the image using this probability density function. The method performs best when the image contains regions of similar size, since it tends to break up larger regions and merge smaller ones. We propose two simple modifications that greatly improve the properties of the stochastic watershed: (1) add noise to the input image at every iteration, and (2) distribute the markers using a randomly placed grid. The noise strength is a new parameter to be set, but the output of the algorithm is not very sensitive to this value. In return, the output becomes less sensitive to the two parameters of the standard algorithm. The improved algorithm does not break up larger regions, effectively making the algorithm useful for a larger class of segmentation problems.
  • Borodulina, Svetlana, et al. (författare)
  • Extracting fiber and network connectivity data using microtomography images of paper
  • 2016
  • Ingår i: Nordic Pulp & Paper Research Journal. - Stockholm : Arbor Publishing AB. - 0283-2631 .- 2000-0669. ; 31:3, s. 469-478
  • Tidskriftsartikel (refereegranskat)abstract
    • We apply image analysis methods based on micro-computed tomography (μCT) to extract the parameters that characterize the structure and bonding parameters in the fiber network of paper. The scaling and variational properties of μCT images are examined by analyzing paper structural properties of two 1 × 1 mm2 test pieces, which have been cut out from a low-grammage handsheet. We demonstrate the applicability of the methods for extracting the free fiber length, fiber cross-sectional data, the distances between the fibers, and the number of fiber-to-fiber bonds, which are the key properties required for the adequate representation of the network in numerical models. We compare the extracted connectivity data with the early reported analytical estimations and conclude that the number of contacts in three-dimensional networks is controlled by the fiber aspect ratio. In addition, we compare the cross-sectional data with those measured by the fiber morphology characterization tools and estimate the fiber shrinkage from completely wet to dry state to be nearly 20%.
  • Curic, Vladimir, et al. (författare)
  • Adaptive Mathematical Morphology : a Survey of the Field
  • 2014
  • Ingår i: Pattern Recognition Letters. - 0167-8655 .- 1872-7344. ; 47, s. 18-28
  • Tidskriftsartikel (refereegranskat)abstract
    • We present an up-to-date survey on the topic of adaptive mathematical morphology. A broad review of research performed within the field is provided, as well as an in-depth summary of the theoretical advances within the field. Adaptivity can come in many different ways, based on different attributes, measures, and parameters. Similarities and differences between a few selected methods for adaptive structuring elements are considered, providing perspective on the consequences of different types of adaptivity. We also provide a brief analysis of perspectives and trends within the field, discussing possible directions for future studies.
  • Curic, Vladimir, et al. (författare)
  • Salience adaptive structuring elements
  • 2012
  • Ingår i: IEEE Journal on Selected Topics in Signal Processing. - : Institute of Electrical and Electronics Engineers (IEEE). - 1932-4553 .- 1941-0484. ; 6:7, s. 809-819
  • Tidskriftsartikel (refereegranskat)abstract
    • Spatially adaptive structuring elements adjust their shape to the local structures in the image, and are often defined by a ball in a geodesic distance or gray-weighted distance metric space. This paper introduces salience adaptive structuring elements as spatially variant structuring elements that modify not only their shape, but also their size according to the salience of the edges in the image. Morphological operators with salience adaptive structuring elements shift edges with high salience to a less extent than those with low salience. Salience adaptive structuring elements are less flexible than morphological amoebas and their shape is less affected by noise in the image. Consequently, morphological operators using salience adaptive structuring elements have better properties.
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