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Contour continuity in region based image segmentation

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Optimal approximations by piecewise smooth functions and associated variational problems
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Filtering, Segmentation and Depth
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Elastica and Computer Vision
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Contributions to the Analysis of Visual Perception—First Paper: Some Observations on the Combination of Visual Impressions into Units
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Inferring global pereeptual contours from local features
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Filling-in the gaps: The shape of subjective contours and a model for their generation
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A Bayesian multiple-hypothesis approach to edge grouping and contour segmentation
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Computing contour closure
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Visual organization of illusory surfaces
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Self inducing relational distance and its application to image segmentation
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Finding boundaries in natural images: A new method using point descriptors and area completion
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A theory of visual interpolation in object perception
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Contour integration by the human visual system: Evidence for a local “association field”
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Feature detection from local energy
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Laws of organization in perceptual forms.
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Feature detection in human vision: a phase-dependent energy model
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Trace inference, curvature consistency, and curve detection
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Robust and efficient detection of salient convex groups
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Normalized cuts and image segmentation
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Structural Saliency: The Detection Of Globally Salient Structures using A Locally Connected Network
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Normalized cuts and image segmentation
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Completion energies and scale
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A computational model of neural contour processing: Figure-ground segregation and illusory contours
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Indexing visual representations through the complexity map
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Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
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Experiencing and Perceiving Visual Surfaces
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The Curve of Least Energy
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On the optimal detection of curves in noisy pictures
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Local Parallel Computation of Stochastic Completion Fields

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Spectral Partitioning with Indefinite Kernels Using the Nyström Extension
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inferred← citeshttps://doi.org/10.5204/thesis.eprints.247177openalex-snapshot
Deep machine learning for biosignal analysis
inferred← citeshttps://doi.org/10.5216/mh.v16i1.43049openalex-snapshot
Resposta de orientação musical: uma hipótese para o dispositivo de origem do sentido
inferred← citeshttps://doi.org/10.5220/0003794704340437openalex-snapshot
BRAIN SEGMENTATION IN HEAD CT IMAGES
inferred← citeshttps://doi.org/10.55145/ajest.2023.02.02.006openalex-snapshot
Region of Interest Extraction using K-Means and Edge Detection for DEXA Images
inferred← citeshttps://doi.org/10.70675/571f60f1z0116z4a23zb3d5ze9d0d0202cedopenalex-snapshot
Machine learning for image segmentation
inferred← citeshttps://doi.org/10.70675/655ea3d3zde62z46bez8b18zb67487240406openalex-snapshot
Segmentation d'images hyperspectrales par des méthodes basées graphes
inferred← citeshttps://doi.org/10.70675/c8c9500azb148z409cz8315z05dc3e1cf60copenalex-snapshot
Unsupervised vision methods based on image perceptual information
inferred← citeshttps://doi.org/10.70675/dd167f4az2700z4f87z8231z3bccafd2a77bopenalex-snapshot
Mid-level representations for modeling objects
inferred← citeshttps://doi.org/10.7287/peerj.12805v0.1/reviews/1openalex-snapshot
Peer Review #1 of "Segmentation of multi-temporal polarimetric SAR data based on mean-shift and spectral graph partitioning (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj.12805v0.1/reviews/2openalex-snapshot
Peer Review #2 of "Segmentation of multi-temporal polarimetric SAR data based on mean-shift and spectral graph partitioning (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj.12805v0.2/reviews/1openalex-snapshot
Peer Review #1 of "Segmentation of multi-temporal polarimetric SAR data based on mean-shift and spectral graph partitioning (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj.12805v0.2/reviews/2openalex-snapshot
Peer Review #2 of "Segmentation of multi-temporal polarimetric SAR data based on mean-shift and spectral graph partitioning (v0.2)"
inferred← citeshttps://doi.org/10.7717/peerj.12805openalex-snapshot
Segmentation of multi-temporal polarimetric SAR data based on mean-shift and spectral graph partitioning
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.