A model-based method for rotation invariant texture classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local linear transforms for texture measurements
Signal Processing
Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple Resolution Segmentation of Textured Images
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
Unsupervised Texture Segmentation Using Markov Random Field Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture classification using QMF bank-based subband decomposition
CVGIP: Graphical Models and Image Processing
Pyramid-based texture analysis/synthesis
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling
International Journal of Computer Vision
Filtering for Texture Classification: A Comparative Study
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: modeling, learning, sampling and computing, Part I
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Support Vector Machines for Texture Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture classification using wavelet transform
Pattern Recognition Letters
Handbook Of Pattern Recognition And Computer Vision
Handbook Of Pattern Recognition And Computer Vision
Expert Systems with Applications: An International Journal
Intelligent target recognition based on wavelet packet neural network
Expert Systems with Applications: An International Journal
Decorrelation Methods of Texture Feature Extraction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Markov Random Field Texture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation by Texture Using Correlation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture Analysis Using Generalized Co-Occurrence Matrices
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image classification by a two-dimensional hidden Markov model
IEEE Transactions on Signal Processing
Wavelet neural networks for function learning
IEEE Transactions on Signal Processing
Image compression by texture modeling in the wavelet domain
IEEE Transactions on Image Processing
Frame representations for texture segmentation
IEEE Transactions on Image Processing
Texture coding using a Wold decomposition model
IEEE Transactions on Image Processing
Texture synthesis via a noncausal nonparametric multiscale Markov random field
IEEE Transactions on Image Processing
A two-component model of texture for analysis and synthesis
IEEE Transactions on Image Processing
Texture synthesis-by-analysis with hard-limited Gaussian processes
IEEE Transactions on Image Processing
2-D moving average models for texture synthesis and analysis
IEEE Transactions on Image Processing
Statistical texture characterization from discrete wavelet representations
IEEE Transactions on Image Processing
Extended fractal analysis for texture classification and segmentation
IEEE Transactions on Image Processing
A perceptually lossless, model-based, texture compression technique
IEEE Transactions on Image Processing
On the selection of an optimal wavelet basis for texture characterization
IEEE Transactions on Image Processing
Multiscale image segmentation using wavelet-domain hidden Markov models
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
Texture classification using combined image decomposition methods
Machine Graphics & Vision International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
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Texture image is a low-level image feature. Nowadays, there are many different applications involving texture analysis, including endoscope, ultrasonographic images recognition, document classification, radar image classification, and texture-based image retrieval. The texture images analysis and classification becomes an important topic. The greatest hardness of texture analysis and classification in the past was the deficiency of enough methods to characterize. Multi-resolution analysis methods such as wavelet and wavelet packet decompositions are more superior to other classic statistical methods. In this paper, a comparison of wavelet-support vector machine (W-SVM) and wavelet-adaptive network based fuzzy inference system (W-ANFIS) approaches for texture image classification is presented. Both W-SVM and W-ANFIS methods are used for classification of the 22 texture images obtained from Brodatz image album. There, 50 64 x 64 image regions were randomly selected (overlapping or nonoverlapping) for each of these 22 images. 25 of these image regions and other 25 of these image regions are used for training and testing of the W-SVM and W-ANFIS methods, respectively.