Regularization of inverse visual problems involving discontinuities
IEEE Transactions on Pattern Analysis and Machine Intelligence
A model-based method for rotation invariant texture classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation of textured images using Gibbs random fields
Computer Vision, Graphics, and Image Processing
The variational approach to shape from shading
Computer Vision, Graphics, and Image Processing
Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scene Segmentation from Visual Motion Using Global Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stochastic model for boundary detection
Image and Vision Computing - Special issue: papers from the second Alvey Vision Conference
Learning the parameters of a hidden Markov random field image model: A simple example
Proc. of the NATO Advanced Study Institute on Pattern recognition theory and applications
Locating texture and object boundaries
Proc. of the NATO Advanced Study Institute on Pattern recognition theory and applications
Simulated annealing: A pedestrian review of the theory and some applications
Proc. of the NATO Advanced Study Institute on Pattern recognition theory and applications
A Renormalization Group Approach to Image Processing Problems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture Boundary Detection Based on the Long Correlation Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Surface Reconstruction Preserving Discontinuities
Surface Reconstruction Preserving Discontinuities
An iterative-improvement penalty-function-driven wire routing system
IBM Journal of Research and Development
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Texture Segmentation Using Markov Random Field Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Cost Minimization Approach to Edge Detection Using Simulated Annealing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Constrained Regularized Differentiation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Bayesian Segmentation Methodology for Parametric Image Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tree Approximations to Markov Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image segmentation based on oscillatory correlation
Neural Computation
Anisotropic Textures with Arbitrary Orientation
Journal of Mathematical Imaging and Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Generic Grouping Algorithm and Its Quantitative Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Texture Segmentation in a Deterministic Annealing Framework
IEEE Transactions on Pattern Analysis and Machine Intelligence
Differentiation-Based Edge DetectionUsing the Logarithmic Image Processing Model
Journal of Mathematical Imaging and Vision
Morphologically Constrained GRFs: Applications to Texture Synthesis and Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Deformable Shape Detection and Description via Model-Based Region Grouping
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
General Scheme of Region Competition Based on Scale Space
IEEE Transactions on Pattern Analysis and Machine Intelligence
Advanced algorithmic approaches to medical image segmentation
Bayesian Image Restoration: An Application to Edge-Preserving Surface Recovery
IEEE Transactions on Pattern Analysis and Machine Intelligence
Constrained Clustering as an Optimization Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multimodal Estimation of Discontinuous Optical Flow using Markov Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Color Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pairwise Data Clustering by Deterministic Annealing
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Class of Discrete Multiresolution Random Fields and Its Application to Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition: Neural Networks in Perspective
IEEE Expert: Intelligent Systems and Their Applications
Design and Analysis of an Efficient Evolutionary Image Segmentation Algorithm
Journal of VLSI Signal Processing Systems
Guest Editorial: Computational Vision at Brown
International Journal of Computer Vision - Special Issue on Computational Vision at Brown University
A Statistical Model for Contours in Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Segmentation by Networks of Spiking Neurons
Neural Computation
A Competitive-Layer Model for Feature Binding and Sensory Segmentation
Neural Computation
Behavioral Priors for Detection and Tracking of Pedestrians in Video Sequences
International Journal of Computer Vision
A parametric gradient descent MRI intensity inhomogeneity correction algorithm
Pattern Recognition Letters
Nonparametric Bayesian Image Segmentation
International Journal of Computer Vision
Local Adaptivity to Variable Smoothness for Exemplar-Based Image Regularization and Representation
International Journal of Computer Vision
Reconstructing (0,1)-matrices from projections using integer programming
Computational Optimization and Applications
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
An incremental Bhattacharyya dissimilarity measure for particle filtering
Pattern Recognition
Expectations of Random Sets and Their Boundaries Using Oriented Distance Functions
Journal of Mathematical Imaging and Vision
Bayesian non-local means filter, image redundancy and adaptive dictionaries for noise removal
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Comparing dissimilarity measures for content-based image retrieval
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Foundations of implementing the competitive layer model by Lotka-Volterra recurrent neural networks
IEEE Transactions on Neural Networks
Iterative segmentation algorithms using morphological operations
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: image and multidimensional signal processing - Volume V
"Influence areas" as a tool for testing of image restoration methods
AICT'11 Proceedings of the 2nd international conference on Applied informatics and computing theory
Optimization by Stochastic Continuation
SIAM Journal on Imaging Sciences
Contour grouping: focusing on image patches around edges
VSMM'06 Proceedings of the 12th international conference on Interactive Technologies and Sociotechnical Systems
Smooth image segmentation by nonparametric bayesian inference
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
A gradient descent MRI illumination correction algorithm
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Selective extraction of entangled textures via adaptive PDE transform
Journal of Biomedical Imaging - Special issue on Mathematical Methods for Images and Surfaces 2011
Scale selection for supervised image segmentation
Image and Vision Computing
Using Constrained Optimization for the Identification of Convergence Clubs
Computational Economics
Boundary reconstruction in binary images using splines
Pattern Recognition
Detecting, segmenting and tracking unknown objects using multi-label MRF inference
Computer Vision and Image Understanding
| Hi-index | 0.15 |
A statistical framework is used for finding boundaries and for partitioning scenes into homogeneous regions. The model is a joint probability distribution for the array of pixel gray levels and an array of labels. In boundary finding, the labels are binary, zero, or one, representing the absence or presence of boundary elements. In partitioning, the label values are generic: two labels are the same when the corresponding scene locations are considered to belong to the same region. The distribution incorporates a measure of disparity between certain spatial features of block pairs of pixel gray levels, using the Kolmogorov-Smirnov nonparametric measures of difference between the distributions of these features. The number of model parameters is minimized by forbidding label configurations, which are assigned probability zero. The maximum a posteriori estimator of boundary placements and partitionings is examined. The forbidden states introduce constraints into the calculation of these configurations. Stochastic relaxation methods are extended to accommodate constrained optimization.