Image segmentation and uncertainty
Image segmentation and uncertainty
Simultaneous Parameter Estimation and Segmentation of Gibbs Random Fields Using Simulated Annealing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Boundary Detection by Constrained Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple Resolution Segmentation of Textured Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Texture Segmentation Using Markov Random Field Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Maximum likelihood unsupervised textured image segmentation
CVGIP: Graphical Models and Image Processing
A Bayesian Segmentation Methodology for Parametric Image Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision and Image Understanding
Periodicity, Directionality, and Randomness: Wold Features for Image Modeling and Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian Modeling of Uncertainty in Low-Level Vision
Bayesian Modeling of Uncertainty in Low-Level Vision
Markov Random Field Models for Unsupervised Segmentation of Textured Color Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution image modelling and estimation
Multiresolution image modelling and estimation
Restriction of a Markov random field on a graph and multiresolution statistical image modeling
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Multiresolution Gauss-Markov random field models for texture segmentation
IEEE Transactions on Image Processing
A two-component model of texture for analysis and synthesis
IEEE Transactions on Image Processing
Discrete Markov image modeling and inference on the quadtree
IEEE Transactions on Image Processing
Multiscale methods for the segmentation and reconstruction of signals and images
IEEE Transactions on Image Processing
Sonar image segmentation using an unsupervised hierarchical MRF model
IEEE Transactions on Image Processing
International Journal of Computer Vision
Scalable multiresolution color image segmentation
Signal Processing
Parallelized segmentation of a serially sectioned whole human brain
Image and Vision Computing
An affine symmetric image model and its applications
IEEE Transactions on Image Processing
Learning conditional random fields for classification of hyperspectral images
IEEE Transactions on Image Processing
Computers in Biology and Medicine
A conditional random field approach to unsupervised texture image segmentation
EURASIP Journal on Advances in Signal Processing
Review article: Automated fabric defect detection-A review
Image and Vision Computing
Adaptive stereo brain images segmentation based on the weak membrane model
CIS'04 Proceedings of the First international conference on Computational and Information Science
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In this paper, a class of Random Field model, defined on a multiresolution array is used in the segmentation of gray level and textured images. The novel feature of one form of the model is that it is able to segment images containing unknown numbers of regions, where there may be significant variation of properties within each region. The estimation algorithms used are stochastic, but because of the multiresolution representation, are fast computationally, requiring only a few iterations per pixel to converge to accurate results, with error rates of 1-2 percent across a range of image structures and textures. The addition of a simple boundary process gives accurate results even at low resolutions, and consequently at very low computational cost.