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ICIP
2001
IEEE

Statistical wavelet subband modelling for texture classification

10 years 1 months ago
Statistical wavelet subband modelling for texture classification
Simple wavelet and wavelet packet transforms have often been used for texture characterisation through the analysis of spatial-frequency content. However, most previous methods make no use of any statistical analysis of the transforms' subbands. A novel method is now presented for modelling the multivariate distributions of subband coefficients by considering spatially related coefficients. The Bhattacharya and divergence metrics are then used to produce an improved texture classification method for the application to content based image retrieval.
Paul R. Hill, David R. Bull, Cedric Nishan Canagar
Added 25 Oct 2009
Updated 25 Oct 2009
Type Conference
Year 2001
Where ICIP
Authors Paul R. Hill, David R. Bull, Cedric Nishan Canagarajah
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