Graph Clustering, Variational Image Segmentation Methods and Hough Transform Scale Detection for Object Measurement in Images View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-02

AUTHORS

Luca Calatroni, Yves van Gennip, Carola-Bibiane Schönlieb, Hannah M. Rowland, Arjuna Flenner

ABSTRACT

We consider the problem of scale detection in images where a region of interest is present together with a measurement tool (e.g. a ruler). For the segmentation part, we focus on the graph-based method presented in Bertozzi and Flenner (Multiscale Model Simul 10(3):1090–1118, 2012) which reinterprets classical continuous Ginzburg–Landau minimisation models in a totally discrete framework. To overcome the numerical difficulties due to the large size of the images considered, we use matrix completion and splitting techniques. The scale on the measurement tool is detected via a Hough transform-based algorithm. The method is then applied to some measurement tasks arising in real-world applications such as zoology, medicine and archaeology. More... »

PAGES

269-291

References to SciGraph publications

  • 2015-07. Global Binary Optimization on Graphs for Classification of High-Dimensional Data in JOURNAL OF MATHEMATICAL IMAGING AND VISION
  • 2014. An Improved Segmentation Method for Non-melanoma Skin Lesions Using Active Contour Model in IMAGE ANALYSIS AND RECOGNITION
  • 1996. Hysteresis and Phase Transitions in NONE
  • 2002. Spectral Partitioning with Indefinite Kernels Using the Nyström Extension in COMPUTER VISION — ECCV 2002
  • 2014-06. Mean Curvature, Threshold Dynamics, and Phase Field Theory on Finite Graphs in MILAN JOURNAL OF MATHEMATICS
  • 1988-01. Snakes: Active contour models in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 1997-02. Geodesic Active Contours in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2015-02. Profile Detection in Medical and Astronomical Images by Means of the Hough Transform of Special Classes of Curves in JOURNAL OF MATHEMATICAL IMAGING AND VISION
  • 2013-03. Long-lasting effects of yolk androgens on phenotype in the pied flycatcher (Ficedula hypoleuca) in BEHAVIORAL ECOLOGY AND SOCIOBIOLOGY
  • 1997-05. Non-local approximation of the Mumford-Shah functional in CALCULUS OF VARIATIONS AND PARTIAL DIFFERENTIAL EQUATIONS
  • 1997-06. A sexually selected character displacement in flycatchers reinforces premating isolation in NATURE
  • 2013. Macroscopic Pigmented Skin Lesion Segmentation and Its Influence on Lesion Classification and Diagnosis in COLOR MEDICAL IMAGE ANALYSIS
  • 2015. Multi-class Graph Mumford-Shah Model for Plume Detection Using the MBO scheme in ENERGY MINIMIZATION METHODS IN COMPUTER VISION AND PATTERN RECOGNITION
  • 2005-04. A Statistical Approach to Texture Classification from Single Images in INTERNATIONAL JOURNAL OF COMPUTER VISION
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    URI

    http://scigraph.springernature.com/pub.10.1007/s10851-016-0678-0

    DOI

    http://dx.doi.org/10.1007/s10851-016-0678-0

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1005780012


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    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10851-016-0678-0'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10851-016-0678-0'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10851-016-0678-0'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10851-016-0678-0'


     

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