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Real-Time Semi-Automatic Segmentation Using a Bayesian Network
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/gmip.1998.0475openalex-snapshot
User-Steered Image Segmentation Paradigms: Live Wire and Live Lane
inferredcites →https://doi.org/10.1006/gmip.1998.0480openalex-snapshot
Interactive Segmentation with Intelligent Scissors
inferredcites →https://doi.org/10.1007/3-540-63931-4_216openalex-snapshot
Interpretation of complex scenes using Bayesian networks
inferredcites →https://doi.org/10.1007/978-3-540-24670-1_33openalex-snapshot
Interactive Image Segmentation Using an Adaptive GMMRF Model
inferredcites →https://doi.org/10.1007/bf01386390openalex-snapshot
A note on two problems in connexion with graphs
inferredcites →https://doi.org/10.1016/0004-3702(90)90060-dopenalex-snapshot
The computational complexity of probabilistic inference using bayesian belief networks
inferredcites →https://doi.org/10.1016/s0004-3702(03)00110-3openalex-snapshot
Complexity of probabilistic reasoning in directed-path singly-connected Bayes networks
inferredcites →https://doi.org/10.1109/34.87344openalex-snapshot
Watersheds in digital spaces: an efficient algorithm based on immersion simulations
inferredcites →https://doi.org/10.1109/cvpr.1999.784720openalex-snapshot
Toboggan-based intelligent scissors with a four-parameter edge model
inferredcites →https://doi.org/10.1109/cvpr.2001.990513openalex-snapshot
A confidence measure for boundary detection and object selection
inferredcites →https://doi.org/10.1109/iccv.2001.937505openalex-snapshot
Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images
inferredcites →https://doi.org/10.1109/iccv.2005.13openalex-snapshot
A multilevel banded graph cuts method for fast image segmentation
inferredcites →https://doi.org/10.1109/icpr.1990.118200openalex-snapshot
Toboggan contrast enhancement for contrast segmentation
inferredcites →https://doi.org/10.1109/tpami.1984.4767596openalex-snapshot
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
inferredcites →https://doi.org/10.1109/tpami.2003.1190570openalex-snapshot
Segmentation of multiple salient closed contours from real images
inferredcites →https://doi.org/10.1109/tpami.2003.1201818openalex-snapshot
Contour grouping with prior models
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Disease Models, Part II: Querying & Applications
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Technology Assessment: Energy Storage Technologies for Wind Power Generation
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Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition
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Computer vision applications
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Combining information from thresholding techniques through an evolutionary Bayesian network algorithm
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Detection of Lung Cancer by Modified Irregular Tree Structure Bayesian Network Model Based Image Segmentation
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Innovation, Technology and Knowledge Management
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Clean energy investment scenarios using the Bayesian network
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Learning Bayesian Networks with qualitative constraints
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Integration of multiple contextual information for image segmentation using a Bayesian Network
inferred← citeshttps://doi.org/10.1109/iccv.2011.6126550openalex-snapshot
Probabilistic image segmentation with closedness constraints
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An improved Bayesian Network Model Based Image Segmentation in detection of lung cancer
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A Bayesian Network Model for Automatic and Interactive Image Segmentation
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Image Segmentation with a Unified Graphical Model
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Silhouette Segmentation in Multiple Views
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An Animal Behavior State Estimation Method Using CCNN and BN Based System
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An End-To-End Bayesian Segmentation Network Based on a Generative Adversarial Network for Remote Sensing Images
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Hierarchical Terrain Classification Based on Multilayer Bayesian Network and Conditional Random Field
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Unsupervised image segmentation by Global and local Criteria Optimization Based on Bayesian Networks
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