Dimension estimation of discrete-time fractional Brownian motion with applications to image texture classification
Fractional Brownian motion (FBM) is a suitable description model for a large number of natural shapes and phenomena. In applications, it is imperative to estimate the fractal dimension from sampled data, namely, discrete-time FBM (DFBM). To this aim, the increment of DFBM, referred to as discrete-ti...
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 6(1997), 8 vom: 15., Seite 1176-84 |
|---|---|
| 1. Verfasser: | |
| Weitere Verfasser: | |
| Format: | Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
1997
|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
| Schlagworte: | Journal Article |