A study of Gaussian mixture models of color and texture features for image classification and segmentation

Authors:
Haim Permuter;Joseph Francos;Ian Jermyn
Affiliations:
Department of Electrical Engineering, Stanford University, CA 94305, USA;Electrical and Computer Engineering Department, Ben-Gurion University, Beer Sheva 84105, Israel;Ariana (Joint INRIA/I3S Research Group), INRIA, B.P. 93, 06902 Sophia Antipolis, France
Venue:
Pattern Recognition
Year:
2006

Citing 23
Cited 24

Local linear transforms for texture measurements

Signal Processing
Self-organization and associative memory: 3rd edition

Self-organization and associative memory: 3rd edition
Multichannel Texture Analysis Using Localized Spatial Filters

IEEE Transactions on Pattern Analysis and Machine Intelligence
Ten lectures on wavelets

Ten lectures on wavelets
A review of recent texture segmentation and feature extraction techniques

CVGIP: Image Understanding
Image compression and classification using vector quantization

Image compression and classification using vector quantization
Local discriminant bases and their applications

Journal of Mathematical Imaging and Vision - Special issue on mathematical imaging
Multi-channel filtering techniques for texture segmentation and surface quality inspection

Multi-channel filtering techniques for texture segmentation and surface quality inspection
Filtering for Texture Classification: A Comparative Study

IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Learning of Finite Mixture Models

IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Image Compression and Classification Using Vector Quantization

IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture Classification Using Noncausal Hidden Markov Models

IEEE Transactions on Pattern Analysis and Machine Intelligence
Support Vector Machines for Texture Classification

IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Classification using GMM with Context Information and with a Solution of Singular Covariance Problem

DCC '03 Proceedings of the Conference on Data Compression
Handbook Of Pattern Recognition And Computer Vision

Handbook Of Pattern Recognition And Computer Vision
Design of multiple Gabor filters for texture segmentation

ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
Markov Random Field Texture Models

IEEE Transactions on Pattern Analysis and Machine Intelligence
Wavelet-based statistical signal processing using hidden Markovmodels

IEEE Transactions on Signal Processing
Image classification by a two-dimensional hidden Markov model

IEEE Transactions on Signal Processing
Multiresolution image classification by hierarchical modeling with two-dimensional hidden Markov models

IEEE Transactions on Information Theory
Texture segmentation using filters with optimized energy separation

IEEE Transactions on Image Processing
Unsupervised texture segmentation of images using tuned matched Gabor filters

IEEE Transactions on Image Processing
Texture classification and segmentation using wavelet frames

IEEE Transactions on Image Processing

Segmentation of color images via reversible jump MCMC sampling

Image and Vision Computing
Is there a best color space for color image characterization or representation based on Multivariate Gaussian Mixture Model?

Computer Vision and Image Understanding
Recognition of coloured and textured images through a multi-scale neural architecture with orientational filtering and chromatic diffusion

Neurocomputing
Color spectral analysis for spatial structure characterization of textures in IHLS color space

Pattern Recognition
Image segmentation based on Gabor filter and MRF model

WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
A three-level clustering algorithm for color texture segmentation

Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Ellipsoidal decision regions for motif-based patterned fabric defect detection

Pattern Recognition
AUC maximization linear classifier based on active learning and its application

Neurocomputing
Integrating local distribution information with level set for boundary extraction

Journal of Visual Communication and Image Representation
Generative models for ticket resolution in expert networks

Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Choice of a pertinent color space for color texture characterization using parametric spectral analysis

Pattern Recognition
An extension of the standard mixture model for image segmentation

IEEE Transactions on Neural Networks
Texture segmentation using independent-scale component-wise Riemannian-covariance Gaussian mixture model in KL measure based multi-scale nonlinear structure tensor space

Pattern Recognition
Parametric models of linear prediction error distribution for color texture and satellite image segmentation

Computer Vision and Image Understanding
Scratch assay analysis with topology-preserving level sets and texture measures

IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Modeling multimedia contents through probabilistic feature signatures

MM '11 Proceedings of the 19th ACM international conference on Multimedia
Dirichlet Gaussian mixture model: Application to image segmentation

Image and Vision Computing
Improved segmentation of meteorite micro-CT images using local histograms

Computers & Geosciences
Cell migration analysis: Segmenting scratch assay images with level sets and support vector machines

Pattern Recognition
Improved generative semisupervised learning based on finely grained component-conditional class labeling

Neural Computation
Expectation-maximization algorithm with total variation regularization for vector-valued image segmentation

Journal of Visual Communication and Image Representation
The bitvector machine: a fast and robust machine learning algorithm for non-linear problems

ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Multilayer graph cuts based unsupervised color-texture image segmentation using multivariate mixed student's t-distribution and regional credibility merging

Pattern Recognition
An Eulerian method for computing the coherent ergodic partition of continuous dynamical systems

Journal of Computational Physics

Quantified Score

Hi-index	0.01

Visualization

Abstract

The aims of this paper are two-fold: to define Gaussian mixture models (GMMs) of colored texture on several feature spaces and to compare the performance of these models in various classification tasks, both with each other and with other models popular in the literature. We construct GMMs over a variety of different color and texture feature spaces, with a view to the retrieval of textured color images from databases. We compare supervised classification results for different choices of color and texture features using the Vistex database, and explore the best set of features and the best GMM configuration for this task. In addition we introduce several methods for combining the 'color' and 'structure' information in order to improve the classification performances. We then apply the resulting models to the classification of texture databases and to the classification of man-made and natural areas in aerial images. We compare the GMM model with other models in the literature, and show an overall improvement in performance.