An anisotropic a contrario framework for the detection of convergences in images

DOI10.1007/s10851-016-0630-3zbMath1357.68192OpenAlexW2253254301MaRDI QIDQ294418

Agnès Desolneux, Fanny Doré

Publication date: 16 June 2016

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10851-016-0630-3

zbMATH Keywords

stochastic geometrya contrario methodologyestimation of a parametric modelpoints of convergence in imagesstellate lesions in mammograms

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Biomedical imaging and signal processing (92C55) Pattern recognition, speech recognition (68T10)

Uses Software

• MegaWave

Cites Work

• Accurate junction detection and characterization in natural images
• Application of the gestalt principles to the detection of good continuations and corners in image level lines
• When the a contrario approach becomes generative
• Beyond independence: an extension of the a contrario decision procedure
• From Gestalt theory to image analysis. A probabilistic approach.
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