Search Results - "Wilkinson, Michael H. F"

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  1. 1

    Stripe noise removal in conductive atomic force microscopy by Li, Mian, Rieck, Jan, Noheda, Beatriz, Roerdink, Jos B. T. M., Wilkinson, Michael H. F.

    Published in Scientific reports (16-02-2024)
    “…Conductive atomic force microscopy (c-AFM) can provide simultaneous maps of the topography and electrical current flow through materials with high spatial…”
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    Journal Article
  2. 2

    Hyperconnected Attribute Filters Based on k-Flat Zones by Ouzounis, G K, Wilkinson, M H F

    “…In this paper, we present a new method for attribute filtering, combining contrast and structural information. Using hyperconnectivity based on k-flat zones,…”
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    Journal Article
  3. 3

    Multi-Spectral Source-Segmentation Using Semantically-Informed Max-Trees by Hashem Faezi, Mohammad, Peletier, Reynier, Wilkinson, Michael H. F.

    Published in IEEE access (2024)
    “…In this paper, we propose an innovative approach to multi-band source-segmentation that addresses the constraints of single-band max-tree-based methods and…”
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    Journal Article
  4. 4
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    Connected Shape-Size Pattern Spectra for Rotation and Scale-Invariant Classification of Gray-Scale Images by Urbach, E.R., Roerdink, J.B.T.M., Wilkinson, M.H.F.

    “…In this paper, we describe a multiscale and multishape morphological method for pattern-based analysis and classification of gray-scale images using connected…”
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    Journal Article
  6. 6

    Mask-Based Second-Generation Connectivity and Attribute Filters by Ouzounis, G.K., Wilkinson, M.H.F.

    “…Connected filters are edge-preserving morphological operators, which rely on a notion of connectivity. This is usually the standard 4 and 8-connectivity, which…”
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    Journal Article
  7. 7

    Volumetric Attribute Filtering and Interactive Visualization Using the Max-Tree Representation by Westenberg, M.A., Roerdink, J.B.T.M., Wilkinson, M.H.F.

    Published in IEEE transactions on image processing (01-12-2007)
    “…The Max-Tree designed for morphological attribute filtering in image processing, is a data structure in which the nodes represent connected components for all…”
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    Journal Article
  8. 8

    Automatic attribute threshold selection for morphological connected attribute filters by Kiwanuka, Fred N., Wilkinson, Michael H.F.

    Published in Pattern recognition (01-05-2016)
    “…Attribute filters allow enhancement and extraction of features without distorting their borders, and never introduce new image features. In attribute filters,…”
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    Journal Article
  9. 9

    Concurrent Computation of Attribute Filters on Shared Memory Parallel Machines by Wilkinson, M.H.F., Hui Gao, Hesselink, W.H., Jonker, J.-E., Meijster, A.

    “…Morphological attribute filters have not previously been parallelized, mainly because they are both global and non-separable. We propose a parallel algorithm…”
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    Journal Article
  10. 10

    Efficient 2-D Grayscale Morphological Transformations With Arbitrary Flat Structuring Elements by Urbach, E.R., Wilkinson, M.H.F.

    Published in IEEE transactions on image processing (01-01-2008)
    “…An efficient algorithm is presented for the computation of grayscale morphological operations with arbitrary 2D flat structuring elements (S.E.). The required…”
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    Journal Article
  11. 11

    Spring-Charged Particles Model to Improved Shape Recovery: An Application for X-Ray Spinal Segmentation by Sardjono, T.A., Van Ooijen, P.M.A., Purnama, I.K.E., Al Kindhi, B., Wicaksono, A. Y., Yuniarno, E.M., Verkerke, G.J., Purnomo, M.H., Wilkinson, M.H.F.

    Published in IEEE access (2022)
    “…Deformable models are widely used in medical image segmentation methods, to find not only single but also multiple objects within an image. They have the…”
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    Journal Article
  12. 12

    Distributed Connected Component Filtering and Analysis in 2D and 3D Tera-Scale Data Sets by Gazagnes, Simon, Wilkinson, Michael H F

    “…Connected filters and multi-scale tools are region-based operators acting on the connected components of an image. Component trees are image representations to…”
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    Journal Article
  13. 13

    Inferring the properties of the sources of reionization using the morphological spectra of the ionized regions by Gazagnes, Simon, Koopmans, Léon V E, Wilkinson, Michael H F

    “…ABSTRACT High-redshift 21-cm observations will provide crucial insights into the physical processes of the Epoch of Reionization. Next-generation…”
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    Journal Article
  14. 14

    A Fast Alpha-Tree Algorithm for Extreme Dynamic Range Pixel Dissimilarities by Ryu, Jiwoo, Trager, Scott C., Wilkinson, Michael H. F.

    “…The <inline-formula><tex-math notation="LaTeX">\alpha</tex-math> <mml:math><mml:mi>α</mml:mi></mml:math><inline-graphic xlink:href="ryu-ieq1-3341721.gif"/>…”
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  15. 15

    Partition-induced connections and operators for pattern analysis by Ouzounis, Georgios K., Wilkinson, Michael H.F.

    Published in Pattern recognition (01-10-2010)
    “…In this paper we present a generalization on the notion of image connectivity similar to that modeled by second-generation connections. The connected operators…”
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    Journal Article
  16. 16

    A Hybrid Shared-Memory Parallel Max-Tree Algorithm for Extreme Dynamic-Range Images by Moschini, Ugo, Meijster, Arnold, Wilkinson, Michael H. F.

    “…Max-trees, or component trees, are graph structures that represent the connected components of an image in a hierarchical way. Nowadays, many application…”
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    Journal Article
  17. 17

    Efficient binocular stereo correspondence matching with 1-D Max-Trees by Brandt, Rafaël, Strisciuglio, Nicola, Petkov, Nicolai, Wilkinson, Michael H.F.

    Published in Pattern recognition letters (01-07-2020)
    “…•We propose a depth from stereo algorithm based on Max-Tree matching.•We use the Max-Tree structure to restrict the disparity search range.•We propose a cost…”
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    Journal Article
  18. 18

    Automatic Cobb Angle Determination From Radiographic Images by Sardjono, Tri Arief, Wilkinson, Michael H. F., Veldhuizen, Albert G., van Ooijen, Peter M. A., Purnama, Ketut E., Verkerke, Gijsbertus J.

    Published in Spine (Philadelphia, Pa. 1976) (15-09-2013)
    “…STUDY DESIGN.Automatic measurement of Cobb angle in patients with scoliosis. OBJECTIVE.To test the accuracy of an automatic Cobb angle determination method…”
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    Journal Article
  19. 19

    Parallel Attribute Computation for Distributed Component Forests by Gazagnes, Simon, Wilkinson, Michael H.F.

    “…Component trees are powerful image processing tools to analyze the connected components of an image. One attractive strategy consists in building the nested…”
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    Conference Proceeding
  20. 20

    Shape representation and recognition through morphological curvature scale spaces by Jalba, A.C., Wilkinson, M.H.F., Roerdink, J.B.T.M.

    Published in IEEE transactions on image processing (01-02-2006)
    “…A multiscale, morphological method for the purpose of shape-based object recognition is presented. A connected operator similar to the morphological…”
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    Journal Article