Image Characterization from Statistical Reduction of Local Patterns
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Using Basic Image Features for Texture Classification
International Journal of Computer Vision
A completed modeling of local binary pattern operator for texture classification
IEEE Transactions on Image Processing
The quadratic-chi histogram distance family
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
A texton-based approach for the classification of lung parenchyma in CT images
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III
Texture regimes for entropy-based multiscale image analysis
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Compressed sensing for robust texture classification
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Multiple classifier systems in texton-based approach for the classification of CT images of lung
MCV'10 Proceedings of the 2010 international MICCAI conference on Medical computer vision: recognition techniques and applications in medical imaging
Descriptor learning based on fisher separation criterion for texture classification
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
On the Occurrence Probability of Local Binary Patterns: A Theoretical Study
Journal of Mathematical Imaging and Vision
Image inpainting with salient structure completion and texture propagation
Pattern Recognition Letters
Orientation and anisotropy of multi-component shapes from boundary information
Pattern Recognition
Dictionary learning in texture classification
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
International Journal of Computer Vision
Automatic microcalcification and cluster detection for digital and digitised mammograms
Knowledge-Based Systems
Sorted random projections for robust rotation-invariant texture classification
Pattern Recognition
Local greylevel appearance histogram based texture segmentation
IWDM'10 Proceedings of the 10th international conference on Digital Mammography
Extended local binary patterns for texture classification
Image and Vision Computing
Texture image classification using complex texton
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Discriminative features for texture description
Pattern Recognition
Segmentation-based multi-class semantic object detection
Multimedia Tools and Applications
Local phase quantization for blur-insensitive image analysis
Image and Vision Computing
Continuous rotation invariant local descriptors for texton dictionary-based texture classification
Computer Vision and Image Understanding
Pairwise rotation invariant co-occurrence local binary pattern
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Gated boltzmann machine in texture modeling
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
Texture Description Through Histograms of Equivalent Patterns
Journal of Mathematical Imaging and Vision
Classification of high-dimension PDFs using the hungarian algorithm
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Noise robust rotation invariant features for texture classification
Pattern Recognition
A new GLLD operator for mass detection in digital mammograms
Journal of Biomedical Imaging - Special issue on Advanced Signal Processing Methods for Biomedical Imaging
Texture representations using subspace embeddings
Pattern Recognition Letters
Texture recognition by using a non-linear kernel
International Journal of Computer Applications in Technology
Fused Lasso and rotation invariant autoregressive models for texture classification
Pattern Recognition Letters
A Klein-Bottle-Based Dictionary for Texture Representation
International Journal of Computer Vision
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In this paper, we investigate material classification from single images obtained under unknown viewpoint and illumination. It is demonstrated that materials can be classified using the joint distribution of intensity values over extremely compact neighborhoods (starting from as small as 3 \times 3 pixels square) and that this can outperform classification using filter banks with large support. It is also shown that the performance of filter banks is inferior to that of image patches with equivalent neighborhoods. We develop novel texton-based representations which are suited to modeling this joint neighborhood distribution for Markov random fields. The representations are learned from training images and then used to classify novel images (with unknown viewpoint and lighting) into texture classes. Three such representations are proposed and their performance is assessed and compared to that of filter banks. The power of the method is demonstrated by classifying 2,806 images of all 61 materials present in the Columbia-Utrecht database. The classification performance surpasses that of recent state-of-the-art filter bank-based classifiers such as Leung and Malik (IJCV 01), Cula and Dana (IJCV 04), and Varma and Zisserman (IJCV 05). We also benchmark performance by classifying all of the textures present in the UIUC, Microsoft Textile, and San Francisco outdoor data sets. We conclude with discussions on why features based on compact neighborhoods can correctly discriminate between textures with large global structure and why the performance of filter banks is not superior to that of the source image patches from which they were derived.