Fast Algorithms for Low-Level Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
A taxonomy for texture description and identification
A taxonomy for texture description and identification
The Design and Use of Steerable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Signal Processing for Computer Vision
Signal Processing for Computer Vision
Deformable Kernels for Early Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Orientation Space Filtering for Multiple Orientation Line Segmentation
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Local Multiple Orientation Estimation: Isotropic and Recursive Oriented Network
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Recognition by Symmetry Derivatives and the Generalized Structure Tensor
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new adaptive framework for unbiased orientation estimation in textured images
Pattern Recognition
Divide-and-conquer strategies for estimating multiple transparent motions
IWCM'04 Proceedings of the 1st international conference on Complex motion
The mojette transform: the first ten years
DGCI'05 Proceedings of the 12th international conference on Discrete Geometry for Computer Imagery
Local orientation estimation in corrupted images
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
The monogenic curvature scale-space
IWCIA'06 Proceedings of the 11th international conference on Combinatorial Image Analysis
IEEE Transactions on Signal Processing
Nonlinear image operators for the evaluation of local intrinsic dimensionality
IEEE Transactions on Image Processing
Convolution-based interpolation for fast, high-quality rotation of images
IEEE Transactions on Image Processing
Asymmetric anisotropic diffusion
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 focuses on the estimation of local orientation in an image where several orientations exist at the same location and at the same scale. Within this framework, Isotropic and Recursive Oriented Network (IRON), an operator based on an oriented network of parallel lines is introduced. IRON uses only a few parameters. Beyond the choice of a specific line homogeneity feature, the size and the shape of the network can be tuned. These parameters allow us to adapt our operator to the image studied. The implementation we propose for the network is recursive, relying on the rotation of the image instead of the rotation of the operator. IRON can proceed on a small computing support, and thus provides a local estimation of orientations. Herein, we test IRON on both synthetic and real images. Compared to some other orientation estimation methods such as Gabor filters or Steerable filters, our operator detects multiple orientations with both better accuracy and noise robustness, at a competitive computational cost thanks to its recursivity. Moreover, IRON offers better selectivity, particularly at small scale.