Unsupervised image segmentation using a simple MRF model with a new implementation scheme

Authors:
Huawu Deng;David A. Clausi
Affiliations:
Department of Systems Design Engineering, University of Waterloo, 200 University Avenue West, Waterloo, Ont., Canada N2L 3G1;Department of Systems Design Engineering, University of Waterloo, 200 University Avenue West, Waterloo, Ont., Canada N2L 3G1
Venue:
Pattern Recognition
Year:
2004

Citing 24
Cited 16

Simple Parallel Hierarchical and Relaxation Algorithms for Segmenting Noncausal Markovian Random Fields

IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of thresholding techniques

Computer Vision, Graphics, and Image Processing
Boundary Detection by Constrained Optimization

IEEE Transactions on Pattern Analysis and Machine Intelligence
Multichannel Texture Analysis Using Localized Spatial Filters

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 Gabor filters

Pattern Recognition
Unsupervised segmentation of noisy and textured images using Markov random fields

CVGIP: Graphical Models and Image Processing
Identifying high level features of texture perception

CVGIP: Graphical Models and Image Processing
Image retrieval by color semantics

Multimedia Systems - Special issue on video content based retrieval
Statistical Pattern Recognition: A Review

IEEE Transactions on Pattern Analysis and Machine Intelligence
Markov random field modeling in image analysis

Markov random field modeling in image analysis
Adaptive Split-and-Merge Segmentation Based on Piecewise Least-Square Approximation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Markov Random Field Models for Unsupervised Segmentation of Textured Color Images

IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Classification (2nd Edition)

Pattern Classification (2nd Edition)
The mean field theory in EM procedures for Markov random fields

IEEE Transactions on Signal Processing
Double Markov random fields and Bayesian image segmentation

IEEE Transactions on Signal Processing
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation of Gabor-filtered textures using deterministic relaxation

IEEE Transactions on Image Processing
Multiresolution Gauss-Markov random field models for texture segmentation

IEEE Transactions on Image Processing
Region growing: a new approach

IEEE Transactions on Image Processing
Sonar image segmentation using an unsupervised hierarchical MRF model

IEEE Transactions on Image Processing
A multiscale random field model for Bayesian image segmentation

IEEE Transactions on Image Processing
Adaptive image region-growing

IEEE Transactions on Image Processing
A self-organizing network for hyperellipsoidal clustering (HEC)

IEEE Transactions on Neural Networks

Unsupervised Segmentation of Synthetic Aperture Radar Sea Ice Imagery Using MRF Models

CRV '04 Proceedings of the 1st Canadian Conference on Computer and Robot Vision
Fast and active texture segmentation based on orientation and local variance

Journal of Visual Communication and Image Representation
Extraction of salient contours from cluttered scenes

Pattern Recognition
Unsupervised Bayesian image segmentation using orthogonal series

Journal of Visual Communication and Image Representation
A scheme for ship detection in inhomogeneous regions based on segmentation of SAR images

International Journal of Remote Sensing
An adaptive segmentation method using MRF model for suburban aerial images

International Journal of Computer Applications in Technology
Multivariate image segmentation using semantic region growing with adaptive edge penalty

IEEE Transactions on Image Processing
An efficient method for target extraction of infrared images

AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part I
Artificial immune multi-objective SAR image segmentation with fused complementary features

Information Sciences: an International Journal
Image segmentation based on the integration of colour-texture descriptors-A review

Pattern Recognition
Markovian approach using several Gibbs energy for remote sensing images segmentation

Analog Integrated Circuits and Signal Processing
An MRF-ICA based algorithm for image separation

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
MRF based spatial complexity for hyperspectral imagery unmixing

SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Image segmentation using local spectral histograms and linear regression

Pattern Recognition Letters
Unsupervised image segmentation using markov random fields

TAINN'05 Proceedings of the 14th Turkish conference on Artificial Intelligence and Neural Networks
Probabilistic terrain classification in unstructured environments

Robotics and Autonomous Systems

Quantified Score

Hi-index	0.02

Visualization

Abstract

A simple Markov random field model with a new implementation scheme is proposed for unsupervised image segmentation based on image features. The traditional two-component MRF model for segmentation requires training data to estimate necessary model parameters and is thus unsuitable for unsupervised segmentation. The new implementation scheme solves this problem by introducing a function-based weighting parameter between the two components. Using this method, the simple MRF model is able to automatically estimate model parameters and produce accurate unsupervised segmentation results. Experiments demonstrate that the proposed algorithm is able to segment various types of images (gray scale, color, texture) and achieves an improvement over the traditional method.