Handbook of pattern recognition & computer vision
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)
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
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
Generalized Pattern Spectra Sensitive to Spatial Information
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
A Statistical Approach to Texture Classification from Single Images
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
Class-Specific Material Categorisation
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
IEEE Transactions on Pattern Analysis and Machine Intelligence
Material-specific adaptation of color invariant features
Pattern Recognition Letters
International Journal of Computer Vision
Rotation Invariant Image Description with Local Binary Pattern Histogram Fourier Features
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
Dominant local binary patterns for texture classification
IEEE Transactions on Image Processing
Classifying materials in the real world
Image and Vision Computing
Computer Vision and Image Understanding
WLD: A Robust Local Image Descriptor
IEEE Transactions on Pattern Analysis and Machine Intelligence
Colour and rotation invariant textural features based on Markov random fields
Pattern Recognition Letters
Spatial morphological covariance applied to texture classification
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Efficient 2-D Grayscale Morphological Transformations With Arbitrary Flat Structuring Elements
IEEE Transactions on Image Processing
Comparative study of moment based parameterization for morphological texture description
Journal of Visual Communication and Image Representation
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Mathematical morphology conversely to linear image analysis approaches specialises in capturing the spatial relations among pixels. This inherent potential has been exploited in the context of texture characterisation, with granulometry along with morphological covariance being the two main tools of the morphological arsenal for this task. However, with the advent of new and powerful texture analysis approaches in the last years (e.g.local binary patterns, MR8), they have been left relatively behind the state-of-the-art, in the light of the present challenges of this field, particularly illumination, rotation and scale invariant characterisation. In this paper, we present a set of extensions for morphological covariance, inspired from differential morphological profiles, that enhance its rotation and illumination invariance capacity. The proposed approach is tested extensively against the state-of-the-art, using the Outex, CUReT, KTH-TIPS, KTH-TIPS2 and ALOT databases, where it exhibits either a superior or comparable performance.