A statistical model for magnitudes and angles of wavelet frame coefficients and its application to texture retrieval
This paper presents a texture descriptor based on wavelet frame transforms. At each position in the image, and for each resolution level, we consider both vertical and horizontal wavelet detail coefficients as the components of a bivariate random vector. The magnitudes and angles of these vectors ar...
Guardado en:
| Autores principales: | Acevedo, Daniel G., Ruedin, Ana María Clara |
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| Publicado: |
2014
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| Materias: | |
| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00313203_v47_n9_p2925_DeVes http://hdl.handle.net/20.500.12110/paper_00313203_v47_n9_p2925_DeVes |
| Aporte de: |
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