According to a space filling curve, distances between points in a multidimensional space are replaced by distances along a Lebesgue measure-preserving curve. By using a neighbouring approach on the space filling curve, several clusters may emerge fkom data and configurations may be associated to the
Texture classification method using multiple space filling curves
β Scribed by Jia-Hong Lee; Yuang-Cheh Hsueh
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 894 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0167-8655
No coin nor oath required. For personal study only.
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## Abstract Following our previous work, here an artificial magnetic conducting (AMC) surface, comprised of Hilbert and/or Peano spaceβfilling curve inclusions is utilized as a thin electromagnetic absorber. Numerical results are presented to show the effects of the incident angle, conducting strip
## Abstract This article describes a new approach for image texture classification based on curve fitting of wavelet domain singular values and probabilistic neural networks. Image textures are wavelet packet transformed and singular value decomposition is then employed on subband coefficient matri