A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision, Graphics, and Image Processing
Fundamentals of digital image processing
Fundamentals of digital image processing
Fast Algorithms for Low-Level Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture descriptors based on co-occurrence matrices
Computer Vision, Graphics, and Image Processing
A taxonomy for texture description and identification
A taxonomy for texture description and identification
Computing oriented texture fields
CVGIP: Graphical Models and Image Processing
Texture features based on texture spectrum
Pattern Recognition
Multidimensional Orientation Estimation with Applications to Texture Analysis and Optical Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computerized Flow Field Analysis: Oriented Texture Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Directional statistics in nonlinear vector field filtering
Proceedings of of the IEEE winter workshop on Nonlinear digital signal processing
Texture anisotropy, symmetry, regularity: recovering structure and orientation from interaction maps
BMVC '95 Proceedings of the 1995 British conference on Machine vision (Vol. 1)
On-Line Fingerprint Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using orientation tokens for object recognition
Pattern Recognition Letters
Using Angular Dispersion of Gradient Direction for Detecting Edge Ribbons
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiscale Characterization of Texture Anistropy
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Local anisotropy analysis for non-smooth images
Pattern Recognition
Multi-resolution Texture Classification Based on Local Image Orientation
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Textural analysis of coca plantations using remotely sensed data with resolution of 1 metre
International Journal of Remote Sensing
A new adaptive framework for unbiased orientation estimation in textured images
Pattern Recognition
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Estimation of the orientation of textured patterns via wavelet analysis
Pattern Recognition Letters
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This paper deals with the characterization of the anisotropy of textured images. It is well known that either the dominant direction or the texture anisotropy strongly depends on the scale used for the observation. In this paper we propose a new operator for the estimation of the dominant direction, the directional mean vector (DMV), which can be computed at any observation scale. Then, we present a new indicator for the estimation of the DMV field anisotropy. This indicator, called Iso, is computed at a given observation scale. Iso is based on the computation of the DMV field local differences. It is shown that the evolution of Iso versus the observation scale gives a curve which simultaneously characterizes the anisotropy of the texture and the size of the textural patterns. In order to establish this property, we build a specific texture model which allows to assess an analytical expression for Iso. Finally, Iso is applied to the characterization of various images including synthetic textures, Brodatz textures and composite material images.