Texture classification and segmentation using wavelet packet frame and Gaussian mixture model

Authors:
Soo Chang Kim;Tae Jin Kang
Affiliations:
Intelligent Textile System Research Center and School of Materials Science and Engineering, Seoul National University, Sillim-9-dong, Gwanak-gu, Seoul 151-744, Republic of Korea;Intelligent Textile System Research Center and School of Materials Science and Engineering, Seoul National University, Sillim-9-dong, Gwanak-gu, Seoul 151-744, Republic of Korea
Venue:
Pattern Recognition
Year:
2007

Citing 20
Cited 27

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
Spatial frequency channels and perceptual grouping in texture segregation

Computer Vision, Graphics, and Image Processing - Special issue on human and machine vission, part II
A Theory for Multiresolution Signal Decomposition: The Wavelet Representation

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

IEEE Transactions on Pattern Analysis and Machine Intelligence
Classification of Rotated and Scaled Textured Images Using Gaussian Markov Random Field Models

IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture classification and segmentation using multiresolution simultaneous autoregressive models

Pattern Recognition
Unsupervised textural classification of images using the texture spectrum

Pattern Recognition
Unsupervised texture segmentation using Gabor filters

Pattern Recognition
Filtering for Texture Classification: A Comparative Study

IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Pattern Recognition: A Review

IEEE Transactions on Pattern Analysis and Machine Intelligence
An adaptive approach to unsupervised texture segmentation using M-Band wavelet transform

Signal Processing
Texture Classification by Wavelet Packet Signatures

IEEE Transactions on Pattern Analysis and Machine Intelligence
An Efficient Image Similarity Measure Based on Approximations of KL-Divergence Between Two Gaussian Mixtures

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Extraction of Features Using M-Band Wavelet Packet Frame and Their Neuro-Fuzzy Evaluation for Multitexture Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Entropy-based algorithms for best basis selection

IEEE Transactions on Information Theory - Part 2
Statistical texture characterization from discrete wavelet representations

IEEE Transactions on Image Processing
Texture analysis and classification with tree-structured wavelet transform

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

IEEE Transactions on Image Processing
Decision-based neural networks with signal/image classification applications

IEEE Transactions on Neural Networks

Stitching defect detection and classification using wavelet transform and BP neural network

Expert Systems with Applications: An International Journal
Multiscale texture classification using dual-tree complex wavelet transform

Pattern Recognition Letters
Faulted gear identification of a rotating machinery based on wavelet transform and artificial neural network

Expert Systems with Applications: An International Journal
Textile Flaw Classification by Wavelet Reconstruction and BP Neural Network

ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Evaluation of the Texture Analysis Using Spectral Correlation Function

Fundamenta Informaticae
Multichannel texture segmentation using bamberger pyramids

Journal on Image and Video Processing
Ellipsoidal decision regions for motif-based patterned fabric defect detection

Pattern Recognition
Texture classification using combined image decomposition methods

Machine Graphics & Vision International Journal
Fabric defect classification using radial basis function network

Pattern Recognition Letters
Multi-level pixel-based texture classification through efficient prototype selection via normalized cut

Pattern Recognition
Inspection of surface defects in copper strip based on machine vision

LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part I
Bayesian texture classification and retrieval based on multiscale feature vector

Pattern Recognition Letters
Combining stationary wavelet transform and self-organizing maps for brain MR image segmentation

Engineering Applications of Artificial Intelligence
A robust texture descriptor using multifractal analysis with Gabor filter

ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Unsupervised texture-based image segmentation through pattern discovery

Computer Vision and Image Understanding
Wavelet kernel learning

Pattern Recognition
Contourlet-based texture classification with product bernoulli distributions

ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Fuzzy Gaussian Mixture Models

Pattern Recognition
Multiscale texture classification and retrieval based on magnitude and phase features of complex wavelet subbands

Computers and Electrical Engineering
Image segmentation using local spectral histograms and linear regression

Pattern Recognition Letters
Fabric defect detection and classification using gabor filters and gaussian mixture model

ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Texture classification based on contourlet subband clustering

ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
An efficient histogram-based texture classification method with weighted symmetrized kullback-leibler divergence

ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
Evaluation of the Texture Analysis Using Spectral Correlation Function

Fundamenta Informaticae
Ellipse Invariant Algorithm for Texture Classification

Fundamenta Informaticae
Pair-copula based mixture models and their application in clustering

Pattern Recognition
Entropic image thresholding based on GLGM histogram

Pattern Recognition Letters

Quantified Score

Hi-index	0.01

Visualization

Abstract

In this paper, we propose a scheme for texture classification and segmentation. The methodology involves an extraction of texture features using the wavelet packet frame decomposition. This is followed by a Gaussian-mixture-based classifier which assigns each pixel to the class. Each subnet of the classifier is modeled by a Gaussian mixture model and each texture image is assigned to the class to which pixels of the image most belong. This scheme shows high recognition accuracy in the classification of Brodatz texture images. It can also be expanded to an unsupervised texture segmentation using a Kullback-Leibler divergence between two Gaussian mixtures. The proposed method was successfully applied to Brodatz mosaic image segmentation and fabric defect detection.