A model-based method for rotation invariant texture classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Boundary Detection by Constrained Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture analysis and discrimination in additive noise
Computer Vision, Graphics, and Image Processing
Classification of Rotated and Scaled Textured Images Using Gaussian Markov Random Field Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ten lectures on wavelets
The Analysis and Recognition of Real-World Textures in Three Dimensions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons
International Journal of Computer Vision
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Log-Polar Wavelet Energy Signatures for Rotation and Scale Invariant Texture Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Empirical Evaluation of Dissimilarity Measures for Color and Texture
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Multiresolution Histograms and Their Use for Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gaussian MRF Rotation-Invariant Features for Image Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature selection in scientific applications
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
A Statistical Approach to Texture Classification from Single Images
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
A Sparse Texture Representation Using Local Affine Regions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Illumination invariant recognition of three-dimensional texture in color images
Journal of Computer Science and Technology
A Projective Invariant for Textures
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
An image retrieval technique using rotationally invariant Gabor features and a localization method
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Algorithms for Feature Selection: An Evaluation
ICPR '96 Proceedings of the 13th International Conference on Pattern Recognition - Volume 2
Texture classification using Gabor wavelets based rotation invariant features
Pattern Recognition Letters
International Journal of Computer Vision
Rotation-invariant and scale-invariant Gabor features for texture image retrieval
Image and Vision Computing
Image retrieval measures based on illumination invariant textural MRF features
Proceedings of the 6th ACM international conference on Image and video retrieval
A novel extended local-binary-pattern operator for texture analysis
Information Sciences: an International Journal
Multiscale texture classification using dual-tree complex wavelet transform
Pattern Recognition Letters
ISM '09 Proceedings of the 2009 11th IEEE International Symposium on Multimedia
Lightweight probabilistic texture retrieval
IEEE Transactions on Image Processing
A completed modeling of local binary pattern operator for texture classification
IEEE Transactions on Image Processing
IEEE Transactions on Multimedia
Rotation-Invariant Texture Image Retrieval Using Rotated Complex Wavelet Filters
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Rapid-transform based descriptor is proposed for texture classification against rotation variations, illumination variations, as well as noise effect. The proposed descriptor is based on the local circular neighborhood and the local feature vector is obtained by means of Rapid-transform. The local feature vector is rotation invariant because of the cyclic shift invariance property of Rapid-transform. Combining several descriptors with different (N, R) parameters the spatial multiscale is obtained. Feature selection approach is designed to improve the classification accuracy and reduce the computing cost. The issue of noise is discussed and more robust descriptor based on Rapid-transform is introduced under noise condition. Texture classification experiments were carried out on the Brodatz and Outex databases, and promising results are obtained from those experiments.