Search Results - "Wilkinson, Michael H. F"
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1
Stripe noise removal in conductive atomic force microscopy
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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2
Hyperconnected Attribute Filters Based on k-Flat Zones
Published in IEEE transactions on pattern analysis and machine intelligence (01-02-2011)“…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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3
Multi-Spectral Source-Segmentation Using Semantically-Informed Max-Trees
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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4
Reproducibility of Standing Posture for X-Ray Radiography: A Feasibility Study of the BalancAid with Healthy Young Subjects
Published in Annals of biomedical engineering (01-10-2010)“…Unreliable spinal X-ray radiography measurement due to standing postural variability can be minimized by using positional supports. In this study, we introduce…”
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5
Connected Shape-Size Pattern Spectra for Rotation and Scale-Invariant Classification of Gray-Scale Images
Published in IEEE transactions on pattern analysis and machine intelligence (01-02-2007)“…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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6
Mask-Based Second-Generation Connectivity and Attribute Filters
Published in IEEE transactions on pattern analysis and machine intelligence (01-06-2007)“…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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7
Volumetric Attribute Filtering and Interactive Visualization Using the Max-Tree Representation
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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8
Automatic attribute threshold selection for morphological connected attribute filters
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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9
Concurrent Computation of Attribute Filters on Shared Memory Parallel Machines
Published in IEEE transactions on pattern analysis and machine intelligence (01-10-2008)“…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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10
Efficient 2-D Grayscale Morphological Transformations With Arbitrary Flat Structuring Elements
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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11
Spring-Charged Particles Model to Improved Shape Recovery: An Application for X-Ray Spinal Segmentation
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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12
Distributed Connected Component Filtering and Analysis in 2D and 3D Tera-Scale Data Sets
Published in IEEE transactions on image processing (2021)“…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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13
Inferring the properties of the sources of reionization using the morphological spectra of the ionized regions
Published in Monthly notices of the Royal Astronomical Society (01-04-2021)“…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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14
A Fast Alpha-Tree Algorithm for Extreme Dynamic Range Pixel Dissimilarities
Published in IEEE transactions on pattern analysis and machine intelligence (01-05-2024)“…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
Partition-induced connections and operators for pattern analysis
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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16
A Hybrid Shared-Memory Parallel Max-Tree Algorithm for Extreme Dynamic-Range Images
Published in IEEE transactions on pattern analysis and machine intelligence (01-03-2018)“…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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17
Efficient binocular stereo correspondence matching with 1-D Max-Trees
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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18
Automatic Cobb Angle Determination From Radiographic Images
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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Parallel Attribute Computation for Distributed Component Forests
Published in 2022 IEEE International Conference on Image Processing (ICIP) (16-10-2022)“…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 -
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Shape representation and recognition through morphological curvature scale spaces
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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