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Guaranteeing convergence of iterative skewed voting algorithms for image segmentation

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Publication:442530
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DOI10.1016/j.acha.2012.03.008zbMath1243.68310arXiv1102.2615OpenAlexW1486513573WikidataQ34415816 ScholiaQ34415816MaRDI QIDQ442530

Matthew Fickus, Gowri Srinivasa, Doru C. Balcan, Jelena Kovačević

Publication date: 1 August 2012

Published in: Applied and Computational Harmonic Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1102.2615


zbMATH Keywords

convergencecellular automataimage segmentationactive masks


Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Machine vision and scene understanding (68T45)




Cites Work

  • The structure of images
  • Opinion dynamics using majority functions
  • Decreasing energy functions as a tool for studying threshold networks
  • Efficient algorithms for diffusion-generated motion by mean curvature
  • On periodical behaviour in societies with symmetric influences
  • Active Mask Segmentation of Fluorescence Microscope Images
  • A strong maximum principle for parabolic equations
  • Convolution-thresholding methods for interface motion
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