Object and Texture Classification Using Higher Order Statistics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gibbs Random Fields, Cooccurrences, and Texture Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reflectance and texture of real-world surfaces
ACM Transactions on Graphics (TOG)
Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons
International Journal of Computer Vision
Outex - New Framework for Empirical Evaluation of Texture Analysis Algorithms
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
3D Texture Recognition Using Bidirectional Feature Histograms
International Journal of Computer Vision
A Statistical Approach to Texture Classification from Single Images
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
Shape Localization Based on Statistical Method Using Extended Local Binary Pattern
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
Basic Gray Level Aura Matrices: Theory and its Application to Texture Synthesis
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Description of interest regions with local binary patterns
Pattern Recognition
Rotation and Scale Invariant Texture Analysis with Tunable Gabor Filter Banks
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
A Statistical Approach to Material Classification Using Image Patch Exemplars
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dominant local binary patterns for texture classification
IEEE Transactions on Image Processing
Texture representation and retrieval using the causal autoregressive model
Journal of Visual Communication and Image Representation
Descriptor learning based on fisher separation criterion for texture classification
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Pyramid center-symmetric local binary/trinary patterns for effective pedestrian detection
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Texel Based Regular and Near-Regular Texture Characterization
CMSP '11 Proceedings of the 2011 International Conference on Multimedia and Signal Processing - Volume 01
Texture information in run-length matrices
IEEE Transactions on Image Processing
Rotation-invariant texture classification using a complete space-frequency model
IEEE Transactions on Image Processing
Rotation-invariant multiresolution texture analysis using Radon and wavelet transforms
IEEE Transactions on Image Processing
Texture analysis and classification with tree-structured wavelet transform
IEEE Transactions on Image Processing
Texture Classification Using Dominant Neighborhood Structure
IEEE Transactions on Image Processing
Hi-index | 0.01 |
This paper presents a novel, simple, yet powerful and robust method for rotation invariant texture classification. Like the Local Binary Patterns (LBP), the proposed method considers at each pixel a neighboring function defined on a circle of radius R. We define local frequency components as the magnitude of the coefficients of the 1D Fourier transform of the neighboring function. By applying different bandpass filters on the 2D Fourier transform of the local frequency components, we define our Local Frequency Descriptors (LFD). The LFD features are added dynamically from low frequencies to high. The features defined in this paper are invariant to rotation. As well, they are robust to noise. The experimental results on the Outex, CUReT, and KTH-TIPS datasets show that the proposed method outperforms state-of-the-art texture analysis methods. The results also show that the proposed method is very robust to noise.