Parallel and Deterministic Algorithms from MRFs: Surface Reconstruction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian Estimation of Motion Vector Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Empirical Bayesian Motion Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gauss-Markov Measure Field Models for Low-Level Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Markov random field modeling in image analysis
Markov random field modeling in image analysis
Multimodal Estimation of Discontinuous Optical Flow using Markov Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Motion Segmentation and Tracking Using Normalized Cuts
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
The application of mean field theory to image motion estimation
IEEE Transactions on Image Processing
Region Tracking via HMMF in Joint Feature-Spatial Space
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Animating Chinese paintings through stroke-based decomposition
ACM Transactions on Graphics (TOG)
High-precision stereo disparity estimation using HMMF models
Image and Vision Computing
Robotics and Computer-Integrated Manufacturing
Texture-Based Simultaneous Registration and Segmentation of Breast DCE-MRI
IWDM '08 Proceedings of the 9th international workshop on Digital Mammography
Texture Based Segmentation of Breast DCE-MRI
IWDM '08 Proceedings of the 9th international workshop on Digital Mammography
IPMI '09 Proceedings of the 21st International Conference on Information Processing in Medical Imaging
Parallel Hidden Hierarchical Fields for Multi-scale Reconstruction
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Denoising Intra-voxel Axon Fiber Orientations by Means of ECQMMF Method
MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence
A General Bayesian Markov Random Field Model for Probabilistic Image Segmentation
IWCIA '09 Proceedings of the 13th International Workshop on Combinatorial Image Analysis
Image Registration Guided by Particle Filter
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Spatially Varying Mixtures Incorporating Line Processes for Image Segmentation
Journal of Mathematical Imaging and Vision
Active mean fields: solving the mean field approximation in the level set framework
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
An extension of the standard mixture model for image segmentation
IEEE Transactions on Neural Networks
A Bayesian framework for image segmentation with spatially varying mixtures
IEEE Transactions on Image Processing
Spatially coherent clustering using graph cuts
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Beta-measure for probabilistic segmentation
MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
Alpha Markov Measure Field model for probabilistic image segmentation
Theoretical Computer Science
Review article: Automated fabric defect detection-A review
Image and Vision Computing
Dirichlet Gaussian mixture model: Application to image segmentation
Image and Vision Computing
Surface reconstruction from stereo data using three-dimensional markov random field model
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Texture based mammogram classification and segmentation
IWDM'06 Proceedings of the 8th international conference on Digital Mammography
Simultaneous segmentation and registration of contrast-enhanced breast MRI
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Bayesian image segmentation using gaussian field priors
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Entropy controlled gauss-markov random measure field models for early vision
VLSM'05 Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision
2D motion description and contextual motion analysis: issues and new models
SCVMA'04 Proceedings of the First international conference on Spatial Coherence for Visual Motion Analysis
An adaptive spatial information-theoretic fuzzy clustering algorithm for image segmentation
Computer Vision and Image Understanding
Gaussian mixture model based segmentation methods for brain MRI images
Artificial Intelligence Review
| Hi-index | 0.14 |
Parametric image segmentation consists of finding a label field that defines a partition of an image into a set of nonoverlapping regions and the parameters of the models that describe the variation of some property within each region. A new Bayesian formulation for the solution of this problem is presented, based on the key idea of using a doubly stochastic prior model for the label field, which allows one to find exact optimal estimators for both this field and the model parameters by the minimization of a differentiable function. An efficient minimization algorithm and comparisons with existing methods on synthetic images are presented, as well as examples of realistic applications to the segmentation of Magnetic Resonance volumes and to motion segmentation.