Local linear transforms for texture measurements
Signal Processing
Sum and Difference Histograms for Texture Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture descriptors based on co-occurrence matrices
Computer Vision, Graphics, and Image Processing
Texture features based on texture spectrum
Pattern Recognition
Unsupervised textural classification of images using the texture spectrum
Pattern Recognition
Handbook of pattern recognition & computer vision
Co-occurrence map: quantizing multidimensional texture histograms
Pattern Recognition Letters
Reduced Multidimensional Co-Occurrence Histograms in Texture Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image classification using the frequencies of simple features
Pattern Recognition Letters
Entropy Approach in the Analysis of Anisotropy of Digital Images
Open Systems & Information Dynamics
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Support Vector Machines for Texture Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
A framework for texture classification using the coordinated clusters representation
Pattern Recognition Letters
Non-parametric Local Transforms for Computing Visual Correspondence
ECCV '94 Proceedings of the Third European Conference-Volume II on Computer Vision - Volume II
Proceedings of the 4th International Conference on Pattern Recognition
The Nonlinear Statistics of High-Contrast Patches in Natural Images
International Journal of Computer Vision - Special Issue on Computational Vision at Brown University
Spatial Texture Analysis: A Comparative Study
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
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
Texture Classification Using N-Tuple Pattern Recognition
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume IV-Volume 7472 - Volume 7472
Robust Computer Vision: Theory and Applications
Robust Computer Vision: Theory and Applications
Face Detection Using Improved LBP under Bayesian Framework
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
A Sparse Texture Representation Using Local Affine Regions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Creating Efficient Codebooks for Visual Recognition
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Class-Specific Material Categorisation
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Hypotheses for Image Features, Icons and Textons
International Journal of Computer Vision
Image Processing, Analysis, and Machine Vision
Image Processing, Analysis, and Machine Vision
International Journal of Computer Vision
A novel extended local-binary-pattern operator for texture analysis
Information Sciences: an International Journal
Blur Insensitive Texture Classification Using Local Phase Quantization
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
LBP Texture Analysis Based on the Local Adaptive Niblack Algorithm
CISP '08 Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 2 - Volume 02
Centralized Binary Patterns Embedded with Image Euclidean Distance for Facial Expression Recognition
ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 04
Rotation-invariant colour texture classification through multilayer CCR
Pattern Recognition Letters
Feature Extraction & Image Processing, Second Edition
Feature Extraction & Image Processing, Second Edition
An Effective Texture Spectrum Descriptor
IAS '09 Proceedings of the 2009 Fifth International Conference on Information Assurance and Security - Volume 02
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
A new approach for unsupervised segmentation
Applied Soft Computing
Binary co-occurrence matrix in image database indexing
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Using Basic Image Features for Texture Classification
International Journal of Computer Vision
Enhanced local texture feature sets for face recognition under difficult lighting conditions
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Texture classification through combination of sequential colour texture classifiers
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Local binary patterns variants as texture descriptors for medical image analysis
Artificial Intelligence in Medicine
Texture classification by modeling joint distributions of local patterns with Gaussian mixtures
IEEE Transactions on Image Processing
A completed modeling of local binary pattern operator for texture classification
IEEE Transactions on Image Processing
Expert Systems with Applications: An International Journal
Improved Blur Insensitivity for Decorrelated Local Phase Quantization
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Colour texture classification for Human Tissue Images
Applied Soft Computing
Matters Computational: Ideas, Algorithms, Source Code
Matters Computational: Ideas, Algorithms, Source Code
Face detection with the modified census transform
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
On the Occurrence Probability of Local Binary Patterns: A Theoretical Study
Journal of Mathematical Imaging and Vision
A Maximum Likelihood Approach to Texture Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Survey on LBP based texture descriptors for image classification
Expert Systems with Applications: An International Journal
Machine Vision and Applications
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Description of interest regions with center-symmetric local binary patterns
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Extended local binary patterns for texture classification
Image and Vision Computing
Decision-based neural networks with signal/image classification applications
IEEE Transactions on Neural Networks
Comparison of Texture Analysis Schemes Under Nonideal Conditions
IEEE Transactions on Image Processing
Local Binary Patterns and Its Application to Facial Image Analysis: A Survey
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Median binary pattern for textures classification
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
A sequential machine vision procedure for assessing paper impurities
Computers in Industry
Hi-index | 0.00 |
The aim of this paper is to describe a general framework for texture analysis which we refer to as the HEP (histograms of equivalent patterns). The HEP, of which we give a clear and unambiguous mathematical definition, is based on partitioning the feature space associated to image patches of predefined shape and size. This task is approached by defining, a priori, suitable local or global functions of the pixels' intensities. In a comprehensive survey we show that diverse texture descriptors, such as co-occurrence matrices, gray-level differences and local binary patterns, can be seen all to be examples of the HEP. In the experimental part we comparatively evaluate a comprehensive set of these descriptors on an extensive texture classification task. Within the class of HEP schemes, improved local ternary patterns (ILTP) and completed local binary patterns (CLBP) emerge as the best of parametric and non-parametric methods, respectively. The results also show the following patterns: (1) higher effectiveness of multi-level discretization in comparison with binarization; (2) higher accuracy of parametric methods when compared to non-parametric ones; (3) a general trend of increasing performance with increasing dimensionality; and (4) better performance of point-to-average thresholding against point-to-point thresholding.