Abstract
We propose an explicit way to generate a large class of Operator scaling Gaussian random fields (OSGRF). Such fields are anisotropic generalizations of self-similar fields. More specifically, we are able to construct any Gaussian field belonging to this class with given Hurst index and exponent. Our construction provides for simulations of texture as well as for detection of anisotropies in an image a large class of models with controlled anisotropic geometries and structures.
| Original language | English |
|---|---|
| Pages (from-to) | 101-111 |
| Number of pages | 11 |
| Journal | Fractals |
| Volume | 19 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Jan 2011 |
| Externally published | Yes |
Keywords
- Anisotropy
- Harmonizable Representation
- Operator Scaling Gaussian Random Field
- Pseudo-Norms
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